About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Key Responsibilities

Previous experience in developing and maintaining interactive and visually appealing dashboards using Tableau, Power BI, and Excel. 

Experience in handling healthcare data (Claims, Trials, RWE) is good to have. 

Proficiency in working with data visualization tools like Tableau and Power BI. The candidate should be able to create interactive and visually appealing dashboards, reports, and charts. 

Proficiency in Excel is important for data analysis, data manipulation, and creating Excel-based dashboards.

Strong knowledge of SQL (Structured Query Language) is essential for querying and manipulating data from relational databases.

Understanding of data modeling concepts to design efficient and effective data structures for reporting and Analysis 

Eagerness to learn and stay updated with the latest BI technologies, tools, and trends. 

Develop and maintain interactive and visually appealing dashboards using Tableau, Power BI, and Excel.

Collaborate with cross-functional teams to identify business requirements and translate them into data visualizations and reports. 

Extract, transform, and load (ETL) data from various sources to ensure accurate and consistent data for reporting. 

Optimize and fine-tune queries and data models for enhanced performance and efficiency.

Analyze and interpret data to identify trends, patterns, and opportunities for business improvement.

Educational Qualification 

Bachelors / Masters in computer science or related subjects from reputable institution 

Proven experience as a Business Intelligence Developer or similar role with 3-5 years of hands-on experience 

in creating reports and dashboards. 

About Inizio Ignite

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.

This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.

What you'll be doing

Leadership & Delivery

• Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
• Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
• Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
• Drive adoption of AI/ML capabilities across client engagements and internal initiatives.

Technical Responsibilities

• Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
• Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
• Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
• Ensure adherence to model governance, compliance, and responsible AI frameworks.

What you'll need

• Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
• Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
• Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
• Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
• Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
• Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
• Experience building GenAI solutions in production environments

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

Position Summary 

As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team. 

A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. 

In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients. 

Desired Skills and Experience 

The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment. 

• Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)  

• Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree  

• Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics 

• Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation 

• Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake) 

• Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights 

• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus 

• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines 

• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences 

• Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment  

Position Summary

The Enterprise Tech Administrator I – End User Support is responsible for delivering high‑quality technical assistance to employees across the organization. This role ensures smooth operation of end‑user systems, resolves technical incidents, installs and configures hardware/software, and supports enterprise platforms in accordance with IT policies and service-level standards. The individual will work closely with global IT teams to enhance user experience and maintain a secure, compliant, and productive technology environment.

Key Responsibilities

End User Support

• Provide Level 1 & Level 2 technical support for desktops, laptops, mobile devices, and peripherals.
• Troubleshoot issues related to Windows OS, macOS (optional), productivity tools, VPN, network connectivity, and enterprise applications.
• Respond to incidents and service requests via ITSM tools within defined SLAs.
• Assist users with onboarding and offboarding processes, including system setup and access provisioning.

Hardware & Software Management

• Install, configure, and maintain end‑user devices (laptops, desktops, monitors, docking stations, etc.).
• Manage software installations, upgrades, and license compliance.
• Support imaging, deployment, and patching processes using enterprise tools (e.g., Intune, SCCM, Autopilot).

Enterprise Systems & Security

• Assist with identity and access management using Azure AD/M365 tools.
• Maintain endpoint security standards (antivirus, encryption, policy compliance).
• Support enterprise collaboration tools (Microsoft 365, Teams, Outlook, SharePoint, OneDrive).

Network & VOIP Support

• Provide basic troubleshooting for wired/wireless networks, VPN, and firewall access requests.
• Support video conferencing systems, meeting room setups, and telephony/VoIP equipment.

Documentation & Process Compliance

• Maintain accurate records of issues, inventory, and resolutions in ITSM tools.
• Create and update knowledge base articles for users and IT peers.
• Ensure compliance with IT policies, security standards, and corporate procedures.

Vendor Coordination

• Coordinate with external vendors for hardware repairs, warranty claims.
• Support IT asset lifecycle management and inventory audits.

Qualifications & Skills

Education

• Bachelor’s degree in computer science, Information Technology, or related field (preferred).
• Relevant certifications such as CompTIA A+, Network+, Microsoft 365 Fundamentals, ITIL Foundation (added advantage).

Professional Experience

• Minimum 1 – 3 years of Experience.

Technical Skills

• Hands-on experience with Windows 10/11 administration.
• Basic knowledge of networking fundamentals (TCP/IP, DHCP, DNS).
• Familiarity with Microsoft 365, Azure AD, Intune, and endpoint management tools.
• Experience with ITSM systems (ServiceNow, Jira Service Desk, Remedy, etc.).
• Understanding of endpoint security tools and practices.

Soft Skills

• Good communication and customer‑service orientation.
• Ability to multitask and prioritize in a fast‑paced environment.
• Team‑player with willingness to learn and grow.

Work Environment

• Onsite 5 Days Work form Office.
• May involve occasional after-hours or weekend support during critical activities.
• Shift coverage:

• 8 AM – 5 PM

• 2 PM – 11 PM

• 5:30 PM – 2:30 AM (6–3 during daylight savings)

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications. In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact.

As a leader who is still technically involved, you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models, paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions. 

This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams. In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact

What you’ll do:

• Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement.
• Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration.
• Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies.
• Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews, provide architectural direction, and champion SDLC best practices, while balancing leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery.

Required Qualifications:

• 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles.
• Hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets.
• Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.
• Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.
• Experiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development.
• Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.
• Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Good to have:

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy.
• Prior experience in deploying LLM‑powered production features,optimize prompting strategies, transforming experimental prototypes into robust, scalable services delivered through well‑defined APIs.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with the Hiring Manager for a Preliminary Phone Screening
2. Behavioral Interview(s)
3. Case Study
4. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

The Difference You Will Make:

The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.

We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

A Typical Day: 

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
• You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Provide critical input in team roadmap and technical direction.

Your Expertise:

• 6+ years of full software development experience
• Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
• Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
• Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
• Outstanding communication and interpersonal skills and detail oriented.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

Opportunity Overview:

We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform.

• You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases.
• You will collaborate with senior engineers, analytics teams, and platform stakeholders to deliver production-grade data solutions.

What you’ll do:

• Develop and maintain batch data pipelines
• Build reusable ingestion and transformation workflows
• Build and maintain Apache Iceberg datasets
• Support schema evolution and partition optimization
• Optimize Athena queries and troubleshoot performance bottlenecks
• Implement data validation checks and monitoring
• Support production issue troubleshooting

Required Qualifications:

• 4–5 years of experience in data engineering
• Strong hands-on experience with Python, SQL, PySpark/Spark
• Experience with AWS S3, Glue, Athena
• Experience with DBT and Airflow (or equivalent)
• Familiarity with Apache Iceberg / Hudi / Delta
• Understanding of partitioning and Parquet optimization

Interview Process*:

1. Connect with Talent Acquisition 
2. Technical Round 1 
3. Technical Round 2
4. Final Round 

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission to get therapy into the hands of everyone!

We’re looking for a part-time, contract Therapist (Independent Contract Provider) who is passionate about reaching individuals who need mental healthcare but lack easy access to it. This role is perfect for those seeking the opportunity to work with a diverse client base while enjoying the flexibility and rewards of private practice—without the hassle of administrative work. Let Talkspace handle the insurance billing, marketing, and administrative costs, so you can create your own schedule and focus fully on providing impactful care!

What you'll do:

• Treat clients remotely in your state(s) of licensure on the secure (HIPAA compliant) Talkspace platform
• Conduct client sessions using video, audio, and live messaging services
• Respond to asynchronous client messages each week, in a timely manner
• Complete your required clinical documentation after each client session

About you

• Current license to practice independently without supervision in the state of Indiana
  • Licensed Clinical Social Worker (LCSW)
  • Licensed Marriage and Family Therapist (LMFT)
  • Licensed Mental Health Counselor (LMHC)
• Individual professional malpractice liability insurance policy
• Individual NPI number
• Comfortable learning new online tools and technology 
• Reliable internet connection and video-capable device

Perks

• Clients Ready for You: Talkspace provides new client referrals
• Flexible Schedule: Set your own schedule with no minimum requirement for your weekly hours or caseload size
• No Membership Fees: No provider fees
• Accept Insurance Without Hassle: Talkspace will take care of all aspects of client insurance including credentialing, billing, and claims
• Everything in One Place: Sessions, clinical documentation, resources, and compensation tracking on one platform
• Fully Paid Training: Master the Talkspace platform before your first session
• Clinical Support: Provider Support and IT teams available for any technical or platform related questions
• Free CEUs: NBCC and ASWB accredited continuing education credits via Talkspace-provided Learning Communities
• Health Perks: Access Stride Health to support your health and financial well-being

Compensation

• $70 per hour for live chat, audio, or video sessions (this rate is prorated for 45 and 30 minute sessions)
• Additional compensation for asynchronous messaging
• Earn a new client engagement bonus, varying by plan type

Please note: If you treat clients in multiple states, different rates will apply accordingly. Rates could be subject to change and may vary over time based on the market and shifts in demand.

Why Talkspace

Talkspace is a leading virtual behavioral healthcare provider committed to helping people lead healthier, happier lives through access to high-quality mental healthcare. At Talkspace, we believe that mental healthcare is core to overall health and should be available to everyone. 

Talkspace pioneered the ability to text with a licensed therapist from anywhere and now offers a comprehensive suite of mental health services, including therapy for individuals, teens, and couples, as well as psychiatric treatment and medication management (18+). With Talkspace’s core therapy offerings, members are matched with one of thousands of licensed therapists within days and can engage in live video, audio, or chat sessions, and/or unlimited asynchronous text messaging sessions. 

All care offered at Talkspace is delivered through an easy-to-use, fully-encrypted web and mobile platform that meets HIPAA, federal, and state regulatory requirements. More than 151 million Americans have access to Talkspace through their health insurance plans, employee assistance programs, our partnerships with leading healthcare companies, or as a free benefit through their employer, school, or government agency.

EQUAL OPPORTUNITY EMPLOYER

Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification or if your path has been nontraditional — such as not completing a formal degree program, taking a career break, or having a prior criminal record — if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team.

Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

How do we define Diversity, Equity, Inclusion, and Belonging at Talkspace? 

Diversity

Diversity encompasses the unique attributes of our employees as individuals. We value and embrace the richness arising from their varied backgrounds, perspectives, and experiences, which include, but are not limited to, age, ability, ethnicity, gender, race, and cultural background.

Equity

Equity refers to a fair and impartial workplace, aiming to ensure equal growth and advancement opportunities for all employees. This involves amplifying underrepresented voices, addressing unconscious biases, and providing inclusive, culturally competent mental health care.

Inclusion

Inclusion signifies the practice of granting equal access to opportunities and resources for all employees, particularly those who might otherwise be excluded or marginalized. It ensures that everyone feels a sense of belonging, value, support, and respect as an individual.

Belonging

Belonging reflects the affinity and positive relationships that develop among employees from diverse backgrounds when businesses actively promote diversity, equity, and inclusion in the workplace.

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About us

Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.

More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.

In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.

Read about the release here:

Article 1

Article 2

The Role

Nanonets is seeking a Senior Revenue Cycle Specialist to join our fast-growing Healthcare business — a team focused on transforming U.S. healthcare operations with AI-powered automation. In this role, you’ll bring deep domain expertise in medical billing, payments, coding, and denials to help shape and scale how Nanonets supports healthcare providers and billing organizations.

You’ll act as a subject matter expert (SME) and hands-on operator, ensuring that our automation solutions map seamlessly to real-world RCM workflows. This is a unique opportunity to join a fast-moving startup environment, collaborate with product and engineering, and directly influence how technology modernizes the revenue cycle.

Roles and Responsibilities

• Own and optimize end-to-end revenue cycle processes across billing, payments, medical coding, claims, and denials management.
• Serve as the internal RCM expert for customer-facing teams (Sales, Implementation, Product), ensuring solutions align with provider workflows.
• Review and analyze billing data to identify automation opportunities and process improvements.
• Partner with Sales and Implementation teams to guide customers on best practices and ensure operational success post-deployment.
• Document workflows, edge cases, and billing nuances to inform product roadmap and customer enablement materials.
• Stay up-to-date on payer regulations, coding updates, and healthcare billing trends to keep Nanonets’ offerings compliant and relevant.
• Collaborate cross-functionally in a fast-paced environment where processes are still being built and iterated on.

Requirements and Skills

• 6+ years of experience in healthcare revenue cycle management, preferably within a provider, billing services, or healthcare technology organization.
• Deep understanding of billing workflows, payment posting, medical coding, and denials management.
• Familiarity with electronic health record (EHR) or practice management systems used in healthcare billing.
• Strong analytical and process improvement skills — ability to identify workflow gaps and propose scalable solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.
• Comfortable working independently in a fast-paced, startup-style environment with evolving processes.

Nice to Have

• Experience partnering with product or engineering teams on workflow automation or system integrations.
• Familiarity with AI-driven automation, document processing, or healthcare technology platforms.
• Certification in Medical Billing/Coding (e.g., CPC, CPB, or CMRS).

Thinking of applying? Try our resume builder— it's free, fast, and tailored to help you stand out.

Staff SWE, Application

Opportunity Overview:

This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance.

As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards.

This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale.

What you’ll do:

• Technical Leadership & Architecture
• Define and drive the architecture of large-scale, distributed application systems across the Cohere platform.
• Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements.
• Champion engineering best practices in CI/CD, testing, release management, and observability.
• Hands-On Engineering
• Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin).
• Lead the development of core features and APIs that directly impact providers, payers, and patients.
• Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness.
• Quality & Compliance Focus
• Embed automated testing, monitoring, and release safeguards into the development lifecycle.
• Proactively address compliance and audit-readiness requirements in application design.
• Collaborate with Quality, Security, and Compliance stakeholders to close CAP issues and maintain high delivery standards.
• Mentorship & Influence
• Mentor engineers across the team, guiding them on technical design, code quality, and system thinking.
• Lead design reviews, technical deep-dives, and incident retrospectives to foster continuous improvement.
• Act as a thought leader in scaling engineering practices across multiple teams.
• Cross-Functional Collaboration
• Work closely with Product, Clinical, and Operations teams to ensure solutions meet real-world healthcare needs.
• Partner with Release Management to ensure predictable, high-quality delivery and quick resolution of hotfixes.

Required Qualifications:

• 13+ years of software engineering experience, with at least 4+ years in a staff/principal/lead role
• Expertise in designing and scaling distributed, cloud-native applications
• Strong background in one or more modern languages: Python, Java, TypeScript/React
• Proven track record of driving system architecture, technical strategy, and execution
• Experience working in healthcare technology or other regulated environments, strongly preferred
• Demonstrated success in mentoring and growing engineering talent.
• Hands-on experience in payment integrity, with exposure to claims processing, audit workflows, or healthcare payment validation systems.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Meet your Hiring Manager!
3. Live Design Exercise 
4. Technical Discussion
5. Cross-Functional Interview 
6. Final Interview

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a Senior Business Intelligence Engineer to join our Intelligence team. In this role, you will design, build, and optimize scalable data models and analytical assets that power reporting and self-service analytics across the organization. You will play a key role in strengthening our BI ecosystem by partnering closely with data platforms, and product teams to deliver high-quality, governed, and performant datasets and dashboards, while upholding best practices and standards..

This is an ideal opportunity for an experienced BI engineer who thrives in a hands-on technical role, can independently support complex initiatives, and is passionate about building clean, reliable, and scalable data foundations. This position offers the chance to have a substantial influence on the company, with the potential for rapid career advancement in a highly visible environment.

What you’ll do:

• Collaborate with business stakeholders to understand reporting needs and translate them into functional requirements.
• Design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools (e.g., Tableau, Power BI, etc.).   
• Build and optimize Tableau dashboards and KPI frameworks with a focus on performance, usability, governance, and row-level security.
• Ensure data consistency and quality in reports by working closely with the data management team.
• Apply best practices in dbt modeling, testing, version control, and release management to ensure high-quality, maintainable pipelines.
• Perform data analysis and ad-hoc queries to support business decision-making.
• Stay current with industry best practices and emerging BI technologies.

What you’ll need:

Must-haves

• 6+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain.
• Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
• Excellent english communication skills, with proven ability to create & deliver the results of analyses to non-technical audiences
• Advanced proficiency in SQL and strong hands-on experience with analytics engineering frameworks such as dbt.
• Strong experience with Tableau (Cloud and Desktop), including dashboard development, row-level security, performance optimization, and basic administration.
• Experience working with workflow orchestration tools such as Airflow.
• Experience working in AWS-based data platforms.
  
  

Nice-to-haves

• Experience with dbt or with similar tools
• Experience with Python.
• Exposure to additional BI platforms such as Power BI, Sisense, or open-source BI tools.
• Experience supporting dashboard embedding and integration into web applications.
• Background in healthcare payer analytics, utilization management, or clinical workflows.
• Previous experience working in a global model

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Technical test 
3. Meet your Hiring Manager
4. Technical Round
5. Case Study
6. Final Interview

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity.

This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. 

You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production.

What you’ll do:

• Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows
• Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows
• Build automated validation for deployment guardrails, release readiness, and production change safety
• Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows
• Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes)
• Drive test reliability, flake reduction, and actionable failure signals
• Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes
• Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable
• Improve test data management and environment stability to enable reliable automation at scale
• Mentor engineers on testability, automation best practices, and quality-first development
• Partner with SRE and Security to ensure production readiness, observability, and compliance expectations are met
• Apply AI-assisted tooling to accelerate test creation and expand coverage for high-risk user flows, integrations, and configuration-driven behavior
• Use AI to analyze automation failures and production incidents to reduce flaky tests and prioritize new test coverage around real failure patterns

Required Qualifications:

• 6+ years in QA Automation, SDET, or test engineering roles supporting production systems
• Strong hands-on experience building automation frameworks for UI and API testing from the ground up, and setting up repeatable datasets
• Deep experience with modern E2E frameworks (Playwright or Cypress) using TypeScript
• Strong API automation experience (REST-based testing frameworks)
• Strong CI/CD experience (GitHub Actions or similar)
• Experience validating cloud-native systems on AWS
• Comfortable working in microservices and event-driven architectures
• Experience testing configuration-driven systems, feature flags, and environment-specific behavior
• Strong debugging skills across frontend, backend, and infrastructure layers
• Proven ability to partner with platform / infra teams on release pipelines and deployment safety

Nice-to-haves

• Performance and reliability testing experience (e.g., k6 or similar)
• Healthcare or regulated domain experience

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We’re looking for a Manager, Engineering that can lead and grow a high-performing engineering team with a strong product mindset, owning outcomes end-to-end. You will build forward-looking software that improves healthcare experiences for members while streamlining payer and provider operations.

What you’ll do:

• Lead a fast-paced, autonomous, agile team of software engineers to build and enhance a growing software platform
• Create transparency into delivery health through the use of meaningful sprint and business metrics
• Enable the team to further its impact, by improving upon its means of delivery and working closely with the data, product, and growth organizations to further the value we can bring to our clients
• Provide technical leadership throughout the design and delivery process, bringing perspective and motivating engineers to develop simple, pragmatic solutions to complex problems
• Ensure the team is following and building upon software engineering best practices including testing, quality, and security
• Foster a culture of developing early career talent who will become the next leaders in the organization, enabling the individuals and the team to work with autonomy
• Provide innovative solutions for both attracting and retaining top talent

Required Qualifications:

• 12+ years of experience with 3+ years of experience managing software engineering teams in a fast-paced, agile environment 
• Demonstrated expertise with cloud-based services 
• Proficiency with Python, ReactJs, Snowflake, MongoDB, etc.
• Experience leading teams in a global organization

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Technical interview(s)
4. Cross functional partner interview
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We’re hiring a Manager, Business Intelligence to lead our India-based BI team and drive high-quality, reliable delivery across reporting and analytics. You will directly manage a team of BI Engineers and Analysts (7 members), serving as the operational backbone for our global BI function. Reporting to the Director of Data and AI. You’ll partner cross-functionally with global teams to deliver insights that directly impact providers, patients, and clients. This is a high-visibility role with strong growth potential, ideal for a player-coach who can go deep technically while driving speed, accountability, and high-quality execution across the team. We’re looking for a strong operator who can bring structure and discipline to fast-moving priorities, making clear trade-offs, and maintaining delivery momentum without sacrificing quality. We value teammates who are collaborative, candid, and empathetic, and are committed to building an inclusive, growth-oriented environment.

What you’ll do:

• Define and execute the Business Intelligence roadmap, aligned with company and client needs while ensuring accuracy, timeliness, and contractual alignment
• Lead and manage a team of BI Engineers and Business Analysts, enforcing clear ownership, SLAs, and accountability.
• Act as a senior partner to Product, Operations, and Client teams, translating complex asks into structured work products for the team
• Identify and eliminate bottlenecks in data pipelines, reporting workflows, and team execution
• Build scalable, reusable reporting frameworks and KPI layers across the organization
• Champion a self-service analytics culture while maintaining governance and data integrity
• Implement robust processes for data validation, reconciliation, and monitoring
• Drive data quality, metric standardization, and governance across all reportin

Required Qualifications:

• 7+ years in BI / Analytics / Data Engineering 
• 2+ years of people management experience
• Prior experience working in a global setting, partnering closely with US-based BI leadership, Product, and Operations teams
• Deep expertise in Agile execution and Jira-based delivery management:
• Backlog ownership, sprint planning, ticket triaging, and prioritization
• Ability to manage frequent re-prioritization without delivery breakdowns
• Strong hands-on experience in:
• SQL (advanced) and data modeling (dimensional / star schema)
• Tableau and/or Amazon QuickSight
• Modern data stack: dbt, Athena (or equivalent), Airflow (or orchestration tools)
• Demonstrated experience building scalable data models and KPI layers
• Ability to debug issues across the full product and data stack independently
• Strong stakeholder and client-facing communication skills.

Nice to have

• Experience working with healthcare datasets (claims, UM/PA workflows, EMR)
• Prior experience operating in high-change technology startup environments
• Background in healthcare tech, payer, or delegated UM environments
• Experience building metrics/semantic layers
• Exposure to AWS cost and performance optimization
• Experience scaling BI platforms for external/client-facing reporting
• Familiarity with data governance and metric standardization practices 

We can’t wait to learn more about you and meet you at Cohere Health!

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Role Overview

The Senior Finance Controller -India, will own end-to-end financial operations for OpenFX’s India entity, building the finance function from the ground up. This role is responsible for establishing payroll, accounts payable, local treasury, and statutory compliance infrastructure, creating a scalable foundation as India operations grow.

Reporting to the Head of Finance, this individual will operate as the senior finance leader on the ground in Bangalore, partnering closely with the global finance team to ensure alignment with group-level controls, reporting standards, and strategic priorities.

Core Responsibilities

• Grow and maintain the India finance function end-to-end: payroll processing, accounts payable, expense management, and vendor payments
• Evaluate the current outsourced accounting arrangements and decide whether to retain, restructure, or bring capabilities in-house
• Establish local treasury operations, including cash management, bank relationships, and fund transfers between India and group entities
• Implement and maintain India-specific financial controls, policies, and approval workflows

Payroll & Employee Operations

• Own the full payroll cycle for the India entity, ensuring accurate and timely salary disbursement, tax withholdings, and statutory deductions (PF, ESI, PT, TDS)
• Manage payroll vendor relationships and ensure compliance with local labor and tax regulations
• Coordinate with HR on new hires, terminations, bonus payments, and variable pay processing

Statutory Compliance & Tax

• Ensure timely filing and compliance with all Indian statutory requirements: GST returns, TDS returns, PF/ESI filings, professional tax, and advance tax payments
• Own monthly payroll tax review and reconciliation
• Manage quarterly VAT claims and returns, corporate tax computations and accruals
• Coordinate annual corporate tax returns, R&D tax claims, and other regulatory filings
• Partner with external auditors and tax advisors to support statutory audits and transfer pricing documentation

Accounting & Reporting

• Maintain accurate books for the India entity under Indian GAAP (and support US GAAP consolidation)
• Deliver monthly close for the India entity within group timelines, including intercompany reconciliations
• Provide regular financial reporting to the global finance team, including variance analysis and commentary
• Ensure audit-ready financial records and strong documentation practices

Local Treasury & Banking

• Manage India banking relationships, account structures, and signatory controls
• Oversee local cash positioning, fund requisitions from the group, and foreign exchange exposures
• Implement cash flow forecasting for India operations

Qualifications

• • Chartered Accountant (CA) or equivalent professional qualification
  • 8–10 years of progressive finance experience, with at least 3 years in a senior role managing India entity finance end-to-end
  • Deep expertise in Indian statutory compliance (GST, TDS, PF/ESI, Companies Act)
  • Experience building finance operations from scratch in a high-growth or startup environment
  • Strong understanding of Indian payroll, local treasury, and banking operations
  • Experience working with global teams and multi-entity structures
  • Fintech, payments, or financial services industry experience strongly preferred
  • Hands-on, builder mindset — comfortable operating without a large team initially
  • Based in Bangalore (in-office required)

Opportunity Overview:

The Lead DevOps Engineer will work closely with Cohere engineers to plan, deploy, and support high-availability solutions. The successful candidate will implement and manage tools supporting Cohere’s engineering teams and infrastructure, coach junior engineers on DevOps best practices and tools. Additionally, they will be responsible for ensuring Cohere maintains a disciplined approach to healthcare security. The candidate should have proven experience across a range of DevOps capabilities such as log aggregation, CI/CD, Linux, Docker, and Kubernetes, as well as experience with cloud infrastructure provisioning, management, and automation technologies such as Terraform, CloudFormation, Chef, and Puppet. Finally, the candidate should be passionate about building quality products, have strong technical skills in areas of Linux system administration, networking, and application deployment/maintenance, and be experienced with at least one scripting language and monitoring systems.

What you’ll do:

• Work closely with Cohere engineers to plan, deploy, and support high-availability solutions
• Implement and manage tools supporting Cohere’s engineering teams and infrastructure including monitoring and alerting, CI/CD,  and version control
• Automate the compilation, testing, packaging, and release of Cohere’s software platform
• Coach Cohere engineers on devops best practices and tools
• Continuously discover, evaluate, and implement new technologies or services to maximize development efficiency
• Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security
• Work with management to create and drive the DevOps roadmap
• Partner with management on cloud infrastructure cost optimization
• Run quarterly Disaster Recovery exercise

Required Qualifications:

• Minimum of 5 years of experience in DevOps practices and cloud infrastructure management
• Experience designing and managing highly scalable production infrastructure in a highly regulated environment
• Experience advocating for modern infrastructure management and are compelled to automate early and often
• Experience across a range of DevOps capabilities such as log aggregation, CI/CD, Linux, Docker and Kubernetes
• Experience developing and managing continuous integration / continuous deployment pipelines using tools such as Jenkins and Github Actions
• Hands on cloud platform experience with a strong preference for AWS
• Experience with cloud infrastructure provisioning, management and automation technologies (Terraform, Cloudformation, Chef, Puppet, etc)
• Strong technical skills in areas of Linux system administration, networking, and application deployment/maintenance
• Experience with at least one scripting language (shell, Ruby, Python, Perl, Go, etc)
• Database administration experience with at least one of the database paradigms.
• Experience with monitoring systems

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Live Design or Coding Session 
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking an Information System Specialist to join our IT team. In this role, you will be part of the day-to-day frontline that provides, supports and maintains the availability of services and infrastructure within the company’s corporate environment. You are responsible for learning, maintaining, and documenting information pertaining to systems, software, applications, and processes used across the organization. All internal support requests are your responsibility to respond to or escalate to Systems Administrators, as necessary.

What you’ll do:

• Work within company’s established standards, procedures and guidelines in delivering service to staff
• Fulfill service requests in a highly customer-service oriented manner
• Monitor, respond to, and escalate service issues in a timely manner
• Follow proper ticketing procedures and best practices
• Improve existing and develop new documentation for systems and services
• Participate in training to develop and maintain knowledge in existing and new technologies

• Assist with inventory management and asset tracking
• Support Systems Administrators with day-to-day activities and projects
• Work with Project Managers to provide technical knowledge and assistance
• Provide assistance in onboarding new employees
• Work cross functionally with all departments to assist with IT issues as well as build out systems functionality

• Partner closely with the IT team to help in migration from Microsoft to Google suite.
• Communicate complex technical solutions to all levels of management
• Process onboarding and offboarding of users to various systems, streamlining and documenting existing workflows.

Required Qualifications:

• Minimum of 3-5 years Mac & PC desktop support experience in a fast-paced environment [university or professional]
• Demonstrated expertise in configuring and troubleshooting enterprise wireless devices, including iOS and Android platforms, and effectively resolving critical system issues

• Proficient in troubleshooting, configuration, and setup of Mac systems to ensure optimal performance and reliability, including support services such as Jamf

• Working Knowledge in Google Workspace, Mac environments, Fortigate Firewall, and Cisco switches, Zoom, AWS, JIRA, Confluence

• Experience working with ticketing systems and managing security-related incidents in alignment with organizational policies

• Comprehensive understanding of networking technologies, configurations, and security best practices. 

• Working knowledge of VOIP concepts
• Ability to work with ticketing systems and manage security related incidents

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with the TA partner for a Preliminary Phone Screening
2. Hiring Manager interview
3. Behavioral Interview(s)
4. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

This is a unique opportunity to lead world-class software engineering teams that power Cohere Health’s product innovation and delivery at scale. Our engineering teams operate with a high degree of autonomy, solving complex challenges across the business in close partnership with product and design. In this role, you’ll also oversee data engineering and core platform engineering functions, ensuring the technical foundation supports rapid growth and innovation.

As a member of the leadership team, you’ll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You’ll foster a culture of innovation, champion Cohere’s values and leadership principles, and apply deep computer science expertise, including algorithms, data structures, and scalable system design to deliver products that transform healthcare.

What you’ll do:

• Recruit and build high-caliber full-stack engineering teams
• Promote a culture where teams feel stimulated by their work and passionate about their role
• Leadership and Management:
• Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation
• Nurture a collaborative and innovative culture within the engineering department
• Develop and implement strategic plans for the engineering department in alignment with the company’s goals
• Ownership and accountability of key engineering metrics of the platform, i.e. quality, availability, response time metrics, time to value, time to build, etc.
• Strategic Planning:
• Contribute to the company’s overall strategy and business planning
• Identify opportunities for technological advancements and innovation
• Develop long-term plans for technology development and deployment
• Product Development:
• Work closely with product management to define product requirements and specifications
• Oversee the design, development, and deployment of products and features
• Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement
• Ensure the scalability, security, and performance of products
• Compliance and Security:
• Ensure compliance with industry standards, regulations, and company policies
• Implement and maintain robust security protocols to protect company data and intellectual property

Required Qualifications:

• 15+ years of experience managing software engineering teams in a fast-paced, agile environment
• 12-15 years experience in designing and operationalizing software products at scale
• High proficiency of both written and verbal English communication
• Bachelor's or Master's degree in Computer Science or a related field or equivalent experience
• Proven track record of delivering high-quality software on time and within budget
• Proven success in growing and managing geographically distributed teams using successful recruiting, employee development, and retention
• Prior experience in B2B enterprise SaaS startup
• Experience with US Healthcare standards and regulations, e.g. FHIR/HL7, HIPAA
• Experience with Payment Integrity (PI), Claims data processing and applied ML in healthcare or life sciences
• Experience building and operating a compliant, secure data lake or lakehouse
• Payer focused health-tech experience strongly preferred
• Design and implement the PHI data access controls
• Ability to partner with business to represent Technology during the client calls.

Nice-to-haves

• Experience in [specific industry/tools] | 
• Cloud Native applications (AWS Preferred)
• Multi-tenant/ microservices architecture
• Familiarity with [tools, platforms, or methodologies] 
• Agile methodologies
• DevOps and SRE practices knowledge
• Implemented Security by design (Nice-to-have)
• Enabled automation framework for unit, integration and performance testing
• Demonstrated success in (stretch area)
• Building global partnerships and working with global operating model

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a Director of Data & AI to join our product development team. In this role, you will lead world-class analytics, data science, and machine learning teams to enable clinical insights and precision AI. You’ll partner closely with product, design, and software engineering to drive the research and development of data-centric solutions. 

As a member of the leadership team, you’ll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You’ll have the opportunity to apply deep analytics and AI expertise to deliver products that transform healthcare. You’ll foster a culture of innovation, champion Cohere’s values and leadership principle, and guide a team of engineers, analysts, and scientists to leverage complex healthcare data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. By combining modern analytic tools, methodologies, and AI technologies to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products. 

What you’ll do:

• Recruit and build high-caliber machine learning, data science, and business intelligence development team
• Leadership and Management:
• Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation.
• Nurture a collaborative and innovative culture within the team and throughout the organization
• Develop and implement strategic plans for the Data & AI department in alignment with the company’s goals
• Ownership and accountability of key quality and delivery metrics of the Data & AI solutions, including time to value, model accuracy, etc.
• Collaboration and Communication
• Partner with Cohere Health’s US-based Data & AI team and assure consistent technical strategy, aligned roadmaps, and value-centric delivery approaches.
• Collaborate with cross-functional product, clinical, and engineering partners to understand their needs, recommend solution approaches, and develop execution strategies
• Innovation and Delivery
• Oversee the design, development, and deployment of analytic and AI solution developments
• Identify opportunities for technological advancements, applicable technical patterns, and innovation.
• Direct an innovation pipeline from experimentations, to development, to maturation
• Provide technical guidance, managing timeline, and ensuring quality and scalability of deliverables 
• Foster a data-driven decision-making culture and prioritize responsible AI

What you’ll need:

Must-haves

• 8+ years of management experience hiring and developing data-centric development teams
• 12+ years of experience in data science and machine learning
• Advanced degree (MS or Ph.D.) in a quantitative field Math, Engineering, Computer Science, Machine Learning
• Proven success in growing and managing geographically distributed teams and fostering multi-functional collaborations
• Track record of translating complex business problems into end-to-end data analytics products with a quantifiable business impact
• Demonstrated success in maturing machine learning prototypes into scalable software
• Experience with US managed care design and operations

Nice-to-haves

• Strong preference for healthcare experience, specifically experience in Utilization Management, Payment Integrity, Risk Adjustment and Quality Measures
• Hands-on experience with large-scale healthcare administrative and clinical data
• Familiarity with healthcare body codesets, terminology and ontology
• Prior experience in B2B enterprise SaaS startup

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking an experienced and visionary Architecture Director to join our team. This role is ideal for a technical leader who excels in designing and scaling platform level architectures in healthcare and regulated environments. As a senior member of the architecture team, you will guide the evolution of our cloud-native, AI enabled platforms to support long term scalability, interoperability, and innovation.

What you’ll do:

• Platform & Systems Architecture : Define the strategic architectural roadmap for core platform services, enabling product teams to build with scalability, reliability, and performance in mind.
• Technical Leadership : Provide senior level architectural direction, code level guidance, and deep reviews for platform components. Mentor engineering leads on architectural trade offs and promotes technical excellence through documentation, design reviews, and knowledge sharing.
• Security & Compliance : Embed regulatory compliance (HIPAA, FHIR, HL7) and security principles into platform design. Lead threat modeling and support platform wide audit, logging, and privacy initiatives.
• Collaboration & Influence : Work closely with other  architects and product leaders to align offshore platform development with global product strategy.

Required Qualifications:

• 10+ years of progressive experience in software engineering and architecture, including senior level platform design in cloud-native environments.
• Proven track record designing distributed, event-driven systems with technologies like Kafka, microservices, and REST/GraphQL APIs.
• Deep expertise in AWS cloud architecture, with hands-on experience deploying containerized apps (ECS, Fargate, EKS) and IaC (Terraform/CDK).
• Excellent communication skills and the ability to work cross functionally across geographies and time zones.

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
  
  

Interview Process*:

1. Connect with the Hiring Manager for a Preliminary Phone Screening
2. Behavioral Interview(s)
3. Case Study
4. Interview with Senior Leadership

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership.

In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights.

The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders.

What you’ll do:

• Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets.
• Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team.
• Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable.
• Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies.
• Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset.
• Define and enforce data quality standards across ingestion, transformation, and analysis workflows.
• Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team.
• Translate analytic outputs into business insights, benchmarks, and structured datasets that support product strategy, commercial enablement, and thought leadership initiatives.
• Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
• Conduct code reviews and analytics methodology reviews to ensure maintainable, reproducible data workflows and high-quality analytic outputs.

What you’ll need:

Must-haves

• 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
• Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
• Advanced SQL querying and ability to work with large datasets.
• Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
• Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
• Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
• Experience managing data quality, data governance, and dataset lifecycle management.
• Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
• Experiment and rapidly prototype design frameworks and validate hypotheses efficiently.
• Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
• Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
• Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
• Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
• Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.

Nice-to-haves

• Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
• Thought leadership in analytics-driven market intelligence, benchmarking, or healthcare data insights.
• Experience working with healthcare claims, authorization, or utilization management data.
• Experience producing market intelligence, benchmarking studies, or industry datasets.
• Familiarity with healthcare payer workflows or healthcare analytics environments.
• Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking an Information System Specialist to join our IT team. In this role, you will be part of the day-to-day frontline that provides, supports and maintains the availability of services and infrastructure within the company’s corporate environment. You are responsible for learning, maintaining, and documenting information pertaining to systems, software, applications, and processes used across the organization. All internal support requests are your responsibility to respond to or escalate to Systems Administrators, as necessary.

What you’ll do:

• Work within company’s established standards, procedures and guidelines in delivering service to staff
• Fulfill service requests in a highly customer-service oriented manner
• Monitor, respond to, and escalate service issues in a timely manner
• Follow proper ticketing procedures and best practices
• Improve existing and develop new documentation for systems and services
• Participate in training to develop and maintain knowledge in existing and new technologies
• Assist with inventory management and asset tracking
• Support Systems Administrators with day-to-day activities and projects
• Work with Project Managers to provide technical knowledge and assistance
• Provide assistance in onboarding new employees
• Work cross functionally with all departments to assist with IT issues as well as build out systems functionality
• Partner closely with the IT team to help in migration from Microsoft to Google suite.
• Communicate complex technical solutions to all levels of management
• Process onboarding and offboarding of users to various systems, streamlining and documenting existing workflows.

Required Qualifications:

• Minimum of 1-2 years Mac & PC desktop support experience in a fast-paced environment [university or professional]
• Demonstrated expertise in configuring and troubleshooting enterprise wireless devices, including iOS and Android platforms, and effectively resolving critical system issues
• Proficient in troubleshooting, configuration, and setup of Mac systems to ensure optimal performance and reliability, including support services such as Jamf
• Working Knowledge in Google Workspace, Mac environments, Fortigate Firewall, and Cisco switches, Zoom, AWS, JIRA, Confluence
• Experience working with ticketing systems and managing security-related incidents in alignment with organizational policies
• Comprehensive understanding of networking technologies, configurations, and security best practices. 
• Working knowledge of VOIP concepts
• Ability to work with ticketing systems and manage security related incidents

Interview Process*:

1. Connect with the TA partner for a Preliminary Phone Screening
2. Hiring Manager interview
3. Behavioral Interview(s)
4. Interview with Senior Leadership

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview

We are seeking an exceptional Senior Product Designer to join our stellar design team. The ideal candidate for this role is an experienced digital product designer who excels in highly collaborative environments, is proficient in modern design tools (we’re a Figma-first organization), and consistently delivers high-quality experiences in complex problem spaces. You enjoy taking ownership of ambiguous and challenging problems, shaping them into thoughtful and intuitive experiences that make a meaningful difference for users.

As a senior member of our design team, and a founding member of the India design team, you will set a strong foundation for integrating design practices with our engineering team. Your work will have a direct impact on over 700,000 healthcare professionals who use our solutions daily to process more than 12 million prior authorizations annually. You combine deep UX expertise with strong visual craft, applying research insights, interaction patterns, and strategic storytelling to influence decisions and ship value. You know how to navigate constraints, advocate for the user, and collaborate seamlessly with product and engineering from discovery through delivery.

In this role, you will also be a force multiplier for the entire product organization. You will design, maintain, and evolve our design system, ensuring it enhances the efficiency, consistency, quality, and accessibility of experiences across multiple product surfaces. Your work will empower designers, engineers, and product teams to ship value faster and more confidently, reducing friction and enhancing collaboration. You bring strong knowledge of interaction patterns, visual design principles, accessibility standards, and component architecture. You know when to extend the system and when to keep it lean, and you are comfortable negotiating with engineers to maintain design and technical cohesion. 

To summarize, this is a hybrid role split between leading and supporting product design across all our products and evolving our design system and design operations globally. 

Last but not least, people who succeed here are empathetic teammates who are candid, kind, and caring, embodying our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do 

• Lead end-to-end design for complex product areas—from framing problems through polished delivery and iteration
• Define experience principles, flows, and interaction patterns that provide clarity across cross-functional teams
• Build high-fidelity prototypes to communicate concepts, test usability, and validate solutions
• Craft beautiful, emotionally compelling visual designs that reinforce product strategy and brand expression
• Collaborate closely with product managers, engineers, data teams, and operations to shape the roadmap and deliver measurable impact
• Own and evolve the design system—tokens, components, patterns, documentation, and guardrails—across all Cohere products
• Refine existing components and design new systematic elements that scale across complex workflows, product areas, and user needs
• Partner closely with designers and engineers to ensure components are technically feasible, accessible, resilient, and high-quality
• Participate in and contribute to design critiques—both giving and receiving feedback that raises quality across the team

Must-haves

• 5+ years of experience in software product design, with ownership of end-to-end delivery for multiple products or substantial product areas, with at least part of that time spent working on or heavily with a design system
• Proven ability to operate in complex domains—enterprise, healthcare, fintech, analytics, or similarly data-dense problem spaces
• Familiarity with frontend technologies (Google’s Material Design, React, HTML/CSS, Design Tokens standards) to collaborate effectively with engineers
• Deep expertise in UX best practices, interaction design, and visual design craft
• Experience working with cross-functional agile scrum teams
• Bachelor’s or Master’s degree in Design, HCI, Human Factors, or equivalent experience

• An outstanding portfolio demonstrating clear problem framing, user-centered design processes, design systems work (components, tokens, patterns), and the real impact of your work
• Strong storytelling and communication skills—able to articulate decisions and generate alignment across disciplines and seniority
• Strong conceptual thinking—balancing user needs, product strategy, business goals, and technical constraints

Nice-to-haves

• Experience designing for healthcare and/or AI/ML
• Experience in influencing design system adoption with engineering teams
• Experience with tooling that supports system delivery (Storybook, ZeroHeight, Tokens Studio, DesignDocs, etc.)
• Strength in motion design or micro-interactions
• Experience launching v1 products or building 0→1 experiences

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview

As the Manager, Machine Learning & Data Science, you will play a key role in building and scaling Cohere Health’s AI capabilities in India. You’ll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows.

This team is responsible for the full lifecycle of applied machine learning and data science—from problem framing and experimentation to production model deployment and ongoing optimization. You’ll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.

As a player-coach, you’ll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.

What you’ll do:

• Lead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment
• Act as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment
• Design, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data
• Translate complex business and clinical problems into scalable machine learning and data science solutions
• Establish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility
• Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities
• Guide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows
• Monitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization
• Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
• Contribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members 

What you’ll need:

Must-haves

• Minimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be leading technical teams
• Strong hands-on experience building, evaluating, and deploying machine learning models in production
• Solid foundation in statistical methods, experimental design, and model evaluation
• Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
• Experience working with large, complex datasets (structured and/or unstructured)
• Strong problem-solving skills with the ability to translate business challenges into analytical solutions
• Excellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders
• Experience working in fast-paced, evolving environments

Nice-to-haves

• Experience in healthcare, particularly with payer, provider, or clinical data
• Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)
• Familiarity with MLOps practices and production ML systems
• Experience with Spark or large-scale data processing frameworks
• Exposure to cloud platforms (e.g., AWS, SageMaker)
• Experience working in a global or distributed team environment
• Prior experience in a GCC or building teams in India

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are looking for a dynamic Manager, Product Management to be part of the Clinical Intelligence product area within the Cohere platform and manage a team of Product Analysts, with full accountability from strategy to execution.  Ultimately, your work will directly impact the growth and evolution of the Clinical Intelligence that powers all of our products. Reporting locally to the VP, General Manager India, this is a critical role that provides an uncommon opportunity to build new products and capabilities and to scale and evolve existing ones.   

You should apply if you are a leader with a product mindset who delivers value to the business by inspiring teams to build and market solutions that really work for users and elegantly solve complex problems.  You’ll sit in the center of strategy, design, engineering and operations to drive multiple levels of decisions, from what “north star” metric we should drive towards, to signing off on acceptance criteria on a new feature.  You understand the market and the competitive landscape of AI in healthtech and are able to quickly synthesize, develop hypotheses, provide team direction and prioritize requirements for your products.

What you’ll do:

• Leads and mentors a team of Product Analysts, providing guidance, support, and fostering a collaborative, innovative product culture and customer centric product delivery
• Create an inclusive, energetic team environment that unleashes the potential of our people and contributes to the professional development and growth of team members
• Develop and oversees the creation of product roadmaps that outline key initiatives, features, and release timelines
• Collaborates with internal teams and stakeholders to ensure alignment of Clinical Intelligence platform goals with overall company objectives
• Establishes the product vision, strategy and roadmap in alignment with Clinical Intelligence platform goals and objective and deliver results by empowering cross-functional teams
• Take a design-first approach to developing product requirements, including partnering with design/ research, marketing, engineering and other teams to understand and evangelize user needs
• Leads and manages the entire product life cycle from strategic planning to tactical activities, if applicable
• Drives product design for new features and enhancements, plans the rollout, evaluates new opportunities, and creates new proposals aligned with business strategy and present insight to key executivesActs as a primary point of contact for product-related inquiries, providing updates and insights to internal and external stakeholders
• Conducts customer and market research, user feedback, usage, and competitive analysis to identify unmet market needs and complex new product applications
• Oversee the end-to-end product development process, making strategic decisions and solving complex challenges.

What you’ll need:

Must-haves

• 5+ years of experience in Product Management including at least 2 years managing people
• 3+ years working in healthcare and/or HealthTech
• Demonstrated expertise in ML/AI applications to healthcare problems
• Strong interpersonal, presentation, and communication skills
• Product mindset with a proven ability to deliver customer centric solutions
• A successful track record of co-creating seamless experiences in collaboration with stakeholders from customer facing and technology functions spread across the globe
  
  

Nice-to-haves

• Bachelor’s or Master’s degree in Computer Science or Engineering
• Experience working with globally distributed teams

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

We are seeking a versatile and skilled call representative to join our dynamic Payment Integrity team. This critical role involves conducting outbound and accepting inbound calls with hospitals, clinics, physician offices, and supply companies. This position requires a good understanding of the US Healthcare system and HIPAA / PHI. This opportunity requires a self-motivated individual who thrives on accuracy, compliance, and continuous learning in a high-growth environment. 

What you’ll do:

• Conduct outbound and accept inbound calls with hospitals, clinics, physician offices and supply companies
• Provide detailed and accurate documentation
• Collaborate with additional teams to ensure clear communication and support in obtaining medical records for the payment integrity process

Required Qualifications:

• Knowledge of medical terminology and medical records
• Self-motivated and able to work independently in a remote environment while maintaining high performance
• Exceptional time management, problem-solving, and analytical skills
• Commitment to teamwork, collaboration with internal teams, and continuous learning
• Ability to accurately document call details
• Possess excellent interpersonal skills
• Excellent written and verbal English communication skills
• Ability to follow protocol and call scripts
• Flexibility to change as company and client needs dictate
• Ability to work late shift to accommodate USA time zones

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Behavioral Interview(s)
3. Meet with the Hiring Manager

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Opportunity Overview:

This is a great opportunity for an experienced full-stack developer to join a healthcare analytics company and deliver meaningful outcomes that reduce the cost of care. Candidates will work closely with engineering leadership, operations, and data science to build intelligence in the system. This will involve constant learning and application to solve business problems. This position will require the candidate to be an out of the box thinker, curiosity, and great attention to detail.  This role offers the potential to grow at Cohere Health, deliver scalable solutions and transform payment services. We are committed to developing and nurturing talent at Cohere Health.

What you’ll do:

• Design and build high quality software applications which help clinicians to deliver the right care at the right place and right time.
• Develop maintainable, efficient code in languages like NodeJS in the native cloud environment.
• Conduct unit, integration, and system testing to identify bugs and ensure the delivery of the high-quality, secure code.
• Collaborate with cross-functional teams to ensure the feature functionality aligns with business and client requirements.

What you’ll need:

Must-haves

We are a Growth startup company and expect each team member to take initiative, and spot and solve problems. 

• 6+ years’ experience as developer 
• 2+ years of experience with full stack application development
• Good understanding of server-side templating languages  
• React development skills, and front-end technologies, such as JavaScript, HTML5, and CSS3 
• NodeJS, Backend – Micro services, python
• Expertise in designing scalable application 
• Knowledge of user authentication and authorization between multiple systems, servers, and environments 
• Design database schemas that represent and support business processes 
• Experience with unit test and debugging skills
• Experience with AWS cloud-based services – lambda, S3, EC2, and enterprise software environments
• Strong problem solving, attention to detail and data-driven decision-making skills 
• Communication skills

Nice-to-haves

• Bachelor’s in Computer Science OR Master’s in Computer Science
• Plus multi-tenant product development experience
• Plus, React Native experience
• Plus, Java & Spring Boot framework experience

Ability to commute/relocate:

• Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)

Interview Process*:

1. Connect with Talent Acquisition 
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

About the Company: 

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. 

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. 

About the Role: 

Sigmoid is looking to onboard a Senior Leader for our FS Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the Financial services space must understand the interconnectedness of Financial Products & Market Dynamics. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our BFSI practice. 

The role requires a strong portfolio leader responsible for managing 3–6 key accounts across a mix of new business development (hunting) and account growth (farming). The individual will typically oversee a team of approximately 15–70 members while managing an annual revenue portfolio in the range of $15M–$60M. The role involves hands-on involvement in sales, client relationship management, and delivery oversight. 

Roles and Responsibilities: 

• An FS expert must understand how the "engine" of different sub-sectors works.
• Banking: Retail (mortgages, cards), Commercial (trade finance, treasury), and Investment Banking (M&A, capital markets).
• Insurance: Life and Annuities vs. P&C (Property & Casualty), including underwriting cycles, reinsurance, and claims transformation.
• Wealth & Asset Management: Fee structures, fiduciary duties, and the shift toward "hyper-personalization" in portfolio management.
• Payments Ecosystem: Knowledge of real-time payments, ISO 20022 standards, and the impact of CBDCs (Central Bank Digital Currencies). 

• The ability to challenge a CEO or Board of Directors while maintaining trust. They must speak the language of the CFO (numbers), the CTO (tech), and the CRO (risk).
• The leader must be aware of latest technologies used by the Financial Institutions, Data Science and Data Engineering team 
• A leader must drive cultural transformation and "buy-in" across silos, the ability to build partnerships between traditional banks and nimble Fintech/Insurtech startups.
• Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. 
• Work in a matrix environment, manage and deliver solutions/POVs across multiple accounts/clients and regions 
• Stay abreast of emerging trends in technology driving Digital Transformation & data democratization, leveraging technology to define and deliver value to our clients.
• Monitor and analyze industry trends, regulatory changes, and competitive dynamics, adjusting our strategy and offerings as needed. 
• Lead a diverse team of consultants and subject matter experts, fostering a culture of collaboration, innovation, and excellence. 
• Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions 
• Drive thought leadership initiatives, representing our company at industry events, conferences, and forums 

Qualifications: 

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred 
• 15-20 Years of Experience in the financial services industry, with a track record of success in strategic leadership roles 
• Robust experience in Retail, Investment Bank/Capital Markets, Asset Management, Wealth management, Insurance & Payments. 
• Exposure in Risk management – credit, market, operational risk 
• Exposure in Compliance management – AML/KYC, Trading Compliance, Risk & Suitability

Desired Skills: 

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Hands on quantitative experience with analytic tools and technologies 
• A self-starter who can work well with minimal guidance 
• Exposure to Pre-Sales is highly desirable 
• Exposure to Financial Services across US, EU and APAC

About HG Insights

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Role Overview

The Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the Contextual Intelligence initiative.

You will co-develop insight logic, selecting signals, designing scoring frameworks, prototyping models in Python, and validating outputs. You will also contribute to the production-ready briefs that are implemented in the data production pipeline by the engineering team.

This role sits at the intersection of statistical modeling, structured data analysis, and applied AI. You are comfortable reasoning about how to measure something rigorously, how entities and relationships in a knowledge graph can be leveraged, and how to use LLMs as a practical tool in the insight development workflow, not as a subject of research, but as part of the toolkit.

What You Will Do

Insight & Model Development

• Co-develop scoring frameworks and metrics models, contributing to signal selection, weighting logic, and model structure across a range of GTM insight types (acquisition,expansion, retention, strategic)
• Prototype insight logic in Python notebooks: assembling features from HG's structured data assets, implementing model components, and stress-testing outputs.
• Design and run validation experiments to confirm that insight outputs are directionally correct, well-calibrated, and meaningful across the full vendor universe
• Contribute to ontology and entity design, thinking through how vendors, products, companies, and relationships should be structured to support a given insight, informed by a conceptual understanding of the knowledge graph schema

Production Brief Development

• Translate insight designs into clear, implementation-ready production briefs 
• Document model specifications precisely: component definitions, feature engineering, aggregation logic, edge case handling, and expected output distributions
• Participate in handoff reviews with the production function, answering implementation questions and refining specs based on feasibility feedback

Insight Research & Discovery

• Contribute to the prioritized insights catalog, researching new insight ideas, assessing data availability, and framing feasibility
• Stay current on GTM data science approaches, competitive intelligence methodologies, and relevant analytical techniques that could expand the insight library

What We're Looking For

Core Skills

• Statistical modeling depth: Ability to design and implement a range of scoring and metrics models from first principles; comfortable with component weighting, normalization, signed rate-of-change metrics, composite aggregation, and distribution analysis; knows when a technique is appropriate and why 
• Python for analytical prototyping: Strong notebook-based Python for data manipulation, feature construction, model prototyping, and output validation; pandas, NumPy, and Scikit are daily 
• SQL: Proficient in querying structured data at scale; used for signal extraction, feature derivation, and validation checks across large vendor and company datasets
• Analytical rigor & validation thinking: Ability to critically evaluate whether a model is measuring what it claims to measure; designs validation experiments, checks edge cases, and flags when outputs don't pass a sanity check
• Clear technical communication: Able to translate analytical logic into precise written specifications; the production brief is a key deliverable 

Applied AI & Graph Literacy

• LLM API usage: Hands-on experience using Claude, GPT, or equivalent APIs as a practical tool; can design effective prompts, integrate LLM steps into an analytical workflow, and evaluate output quality critically
• Knowledge graph concepts: Conceptual understanding of how entities, relationships, and properties are structured in a graph; able to reason about how graph-derived features (e.g., vendor-product-company traversals) should inform insight design, without necessarily writing production Cypher 

Nice to Have

• GTM/Management Consulting, or IT Research experience, familiarity with concepts like install base, intent signals, competitive intelligence, and market analysis. Experience writing Cypher or querying graph-structured data directly
• Experience working collaboratively with engineering, product and GTM teams
• Experience in a B2B SaaS or data products environment

Tools & Environment

Primary

• Python (pandas, NumPy, scipy, Jupyter)
• SQL
• LLM APIs (Claude, GPT)
• Git and version control

Working Knowledge

• Databricks
• Cloud storage 
• Knowledge graph concepts 

Summary

Morgan & Morgan is seeking an Attorney to join our growing Employment Law department. The Employment Law Attorney will handle and support a heavy and complex caseload from pre-litigation, litigation, trial prep and trial. This opportunity can be in any of our offices in Illinois, Michigan, Indiana, Ohio or Kentucky.

Responsibilities

• Day-to-day handling of cases from pre-litigation to litigation 
• Mostly handling the pre-suit side and assisting senior attorneys once the claim files suit 
• Drafting and filing of litigation documents to include pleadings, discovery requests, discovery responses, demands, motions and memorandum
• Guide clients through the case process
• Interaction with expert witnesses to include conferences, drafting of expert reports and affidavits
• Attendance and preparation for depositions, mediations, hearings, and court appearances

Qualification

• Law degree (J.D. / Juris Doctor) from a fully ABA accredited law school
• An active member in good standing with the State Bar Association.
• A plus to have experience on wage and hour claims
• Ability to manage high volume of pre-lit and litigation cases
• Excellent client service and communication skills
• Self-starter driven by long-term career goals

#LI-SC1

Summary

Our Operations Team is growing! We're looking to bring on an Enablement Manager who will assist in all case operations within our legal teams! A successful candidate will aid leadership in providing training, management, and productivity for our case staff in multiple regions across our firm and have a direct hand in ensuring business operations are at peak performance.

Responsibilities

•    Oversee and develop litigation staff across various markets, focusing on driving their performance in alignment with team objectives and overarching business goals
•    Monitor and enforce compliance of case staff while promoting a positive work environment
•    Enforce operational goals for case staff, and monitor performance in real-time through KPIs and dashboards
•    Resolve roadblocks and challenges for case staff by managing and tracking support from other departments (e.g. Learning & Development, I.T., H.R., etc.)
•    Audit case files to ensure employees are working efficiently and meeting their metrics in a timely manner
•    Establish, enable, and execute additional processes for auditing performance
•    Review metrics to proactively identify areas of improvement for case staff
•    Facilitate case staff training with internal Learning and Development Team
•    Guide case staff to negotiate claims proactively and aggressively to settlement
•    Contribute to team strategic initiatives and help build shared standards and processes
•    Communicate firm goals and vision to staff
•    Onboard new hires and facilitate shadowing with other litigation staff members
•    Build relationships with case staff and attorneys in each region

Qualifications

•    Bachelor’s degree in business administration or related field or equivalent work experience
•    Experience in the legal and/or personal injury industry is a plus but not required
•    Salesforce experience is a plus
•    Exceptional leadership, time management, facilitation, and organizational skills
•    Working knowledge of change management principles and performance evaluation processes
•    Ability to work both independently and in a group setting, in a fast-paced and constantly changing setting
•    Be adaptable, curious and creatively solve problems in an evolving space, capable of managing complexity while maintaining a sense of balance

This role is fully on-site, which gives you the chance to be fully immersed in the work and gain direct experience alongside the team. We’ve found that being in the office helps new team members get up to speed quickly and feel more connected.

#LI-KL1

Summary

Our Operations Team is growing! We're looking to bring on an Enablement Manager who will assist in all case operations within our legal teams! A successful candidate will aid leadership in providing training, management, and productivity for our case staff in multiple regions across our firm and have a direct hand in ensuring business operations are at peak performance.

Responsibilities

•    Oversee and develop litigation staff across various markets, focusing on driving their performance in alignment with team objectives and overarching business goals
•    Monitor and enforce compliance of case staff while promoting a positive work environment
•    Enforce operational goals for case staff, and monitor performance in real-time through KPIs and dashboards
•    Resolve roadblocks and challenges for case staff by managing and tracking support from other departments (e.g. Learning & Development, I.T., H.R., etc.)
•    Audit case files to ensure employees are working efficiently and meeting their metrics in a timely manner
•    Establish, enable, and execute additional processes for auditing performance
•    Review metrics to proactively identify areas of improvement for case staff
•    Facilitate case staff training with internal Learning and Development Team
•    Guide case staff to negotiate claims proactively and aggressively to settlement
•    Contribute to team strategic initiatives and help build shared standards and processes
•    Communicate firm goals and vision to staff
•    Onboard new hires and facilitate shadowing with other litigation staff members
•    Build relationships with case staff and attorneys in each region

Qualifications

•    Bachelor’s degree in business administration or related field or equivalent work experience
•    Experience in the legal and/or personal injury industry is a plus but not required
•    Salesforce experience is a plus
•    Exceptional leadership, time management, facilitation, and organizational skills
•    Working knowledge of change management principles and performance evaluation processes
•    Ability to work both independently and in a group setting, in a fast-paced and constantly changing setting
•    Be adaptable, curious and creatively solve problems in an evolving space, capable of managing complexity while maintaining a sense of balance

This role is fully on-site, which gives you the chance to be fully immersed in the work and gain direct experience alongside the team. We’ve found that being in the office helps new team members get up to speed quickly and feel more connected.

#LI-KL1

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

WHO YOU ARE:

You are a proactive and dependable professional who thrives in a collaborative, fast-paced environment and can effectively manage responsibilities and communications when needed. Detail-oriented and analytical, you are comfortable working with strict timelines while continuously building your expertise in the annuity domain, products, and operational processes

WHAT YOU’LL DO

• Effectively Handle Internal and External Communication in the absence of the supervisor.
• Aid in processing critical transactions on a need basis.
• Help the supervisor in developing Team Strengths
• Help the supervisor in analyzing the process reports, and attending to client calls/ onshore counterparts
• Coach Team Members (new and existing basis requirements)
• Should be able to get the work done by showing teamwork attribute
• Ability to transfer knowledge to other team members
• Provide assistance in exceeding service standards
• Developing and maintaining a solid working knowledge of the Annuity domain, and of all products & processes
• Ability to work with strict timelines, and should be fine with non-rotating US shift timings.

WHAT YOU’LL NEED

• Graduation in any stream, Commerce Graduate preferred.
• 5+ years of overall work experience in Insurance.
• 3+ years of working experience in Audit role in Insurance.
• Ability to spot fraudulent claims, handle exceptional situations, identify the red flags, and able to cross-check the performed calculations based on nominees’ shareholding patterns.
• Ability to do multi-tasks at one time. Should be able to understand multi-transactions of multi-clients.
• Experience in a professional/office-related environment that required to work regularly scheduled shifts.
• Experience using a computer with Windows PC applications that required to use a keyboard, navigating screens, and learning new software tools.
• Excellent English Business communication and Analytical skills.
• Ability to solve basic mathematical problems.
• Must have Email/ Letter writing skills.
• Good understanding of MS Excel and MS-Outlook.

WHAT’S IN IT FOR YOU?
We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

About Truveta 

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.   

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.  

The Role 

We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. 

This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach. 

A key expectation is not just execution—but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems. 

What You’ll Do 

• Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data 

• Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI) 

• Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes 

• Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions 

• Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community 

• Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions 

What We’re Looking For 

Minimum Qualifications 

• PhD in Computer Science, Machine Learning, Biomedical Informatics, or a related field 

• Strong background in machine learning, deep learning, or statistical modeling 

• Experience applying ML to healthcare, biomedical, or clinical datasets 

• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) 

Preferred Qualifications 

• Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging) 

• Familiarity with cutting-edge areas such as:  

• Foundation models / LLMs in healthcare 

• Multimodal learning 

• Causal inference 

• Representation learning on longitudinal data 

• Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA) 

• Ability to work across disciplines and communicate with both technical and clinical stakeholders 

Who You Are 

• Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?” 

• Impact-driven: You care about applying research to real-world healthcare problems 

• Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job 

• Collaborative: You enjoy working across domains and learning from experts in different fields 

Why This Role is Unique 

• Access to one of the largest and richest longitudinal EHR datasets in the US 

• Opportunity to work on previously infeasible problems at the intersection of AI and medicine 

• A balance of academic-style research freedom and real-world impact 

• Collaboration with leading healthcare systems and industry partners 

Example Problem Areas (Illustrative) 

• Learning patient trajectories using foundation models for clinical decision support 

• Discovering novel phenotypes or disease subtypes from multimodal data 

• Predicting treatment effectiveness using causal ML on real-world data 

• Generating synthetic cohorts for rare disease research 

• Integrating genomics + EHR for precision medicine applications 

The Community You Will Join:

The core work of Claims Specialists is to provide excellent community support for hosts and guests seeking assistance from Airbnb Host Guarantee, Host Protection Insurance, Experience Protection insurance.

The Difference You Will Make:

In this role, you will play a critical part in protecting Airbnb’s community by ensuring fair, timely, and policy-driven resolution of complex property, liability, and brand-risk claims. You will bring clarity and confidence to moments of uncertainty for hosts and guests by combining deep investigative rigor with empathy and sound judgment. Through close collaboration with internal stakeholders, third-party administrators, and leadership, you will help de-escalate high-risk situations, safeguard trust in AirCover protections, and uphold Airbnb’s commitment to safety, belonging, and community support.

A Typical Day:

Property Security specialists are broadly accountable for the following activities and responsibilities:

• Handle the designated inboxes through inbound and outbound tickets/emails, outbound calls and case work.
• Initiating, investigating and resolving cases involving complex damages, liability claims, potential fraud, or brand risk, verifying facts, and determining resolutions based on internal policies.
• Working closely with stakeholders to align on case strategy.
• Compiling incident reports at the direction of leadership.
• Providing upward feedback, regarding the status of claims, communicating regularly with supervisors and managers.
• Crafting clear and concise resolution plans in order to drive fair and accurate outcomes.
• Effectively collaborate with and monitor third party claims administrators.
• Mastering knowledge of company policies and procedures inside and out, being an expert in claims verification, payment processing, dispute resolution and fraud detection.
• Determining compensation and validity of the claims, identifying possible claim risks and/or liaising with other departments to de-escalate active threads. This process will require excellent negotiation skills and might involve stakeholder relationships and research.
• Maintaining high levels of confidentiality while performing investigations.
• Maintain professional relationships with colleagues.
• Embody Airbnb Core Values and exhibit Diversity and Belonging ethos and behaviors.

Dedicated to project work, supporting leadership on the execution of Change Management and other initiatives:

• Acting as a process advisor for change initiatives and/or cross-functional projects to meet strategic goals.
• Acting as a mentor and advisor/SME for new hires and partners.
• Actively participating in cross-collaboration projects within the AirCover org.
• Work closely with the Product Team as a Subject Matter Expert to test, refine, ideate, and deploy new internal products.
• Attending functional business reviews as required.
• Triaging and distributing urgent and sensitive claims escalations.
• Handling cases and escalations with increased complexities including stakeholder notifications and payment thresholds.
• New hire mentoring and support during training, nesting and ramping periods.
• Participate in training support when required (e.g outbound call roleplay) 
• Focus on fully understanding and assisting peers in understanding and adhering to policies and workflows.
• Provide case support to peers and associates (case consults, payout thresholds, etc).
• Sharing best practices in reaching & maintaining high performance (SLAs, SPD, Quality).
• Assume POC roles in relevant areas where the business requires.
• Contribute to and take part in key initiatives to drive the business forward where the business requires.
• Perform relevant Team Coordinator duties when the business requires, including team approvals and consults.
• Develop and leverage strong Stakeholder management skills to communicate and collaborate with internal and external stakeholders in a professional, timely manner.
• Demonstrate proactiveness in identifying gaps in workflow, process and policies and in problem solving including providing upward feedback where needed.

Your Expertise:

• Language proficiency in English.
• Be an advocate of high quality standards, innovation, resolution conflict and customer experience excellence.
• 1-3 years of experience in claims and dispute resolution, Insurance claims) conflict resolution, fraud or risk investigations, and/or crisis management.
• 2+ years of experience in customer service in international calling; handling escalations & have a critical thinking mindset.
• Excellent interpersonal and communication skills, both written (email) and spoken (phone), to help our community in a tactful and diplomatic manner.
• Excellent time management, negotiation and conflict resolution skills.
• Passion for innovation with a ‘work smarter’, solution and action oriented mindset.
• Experience working with internal stakeholders and/or third party providers to resolve complex disputes in a detailed, effective and timely manner.
• Calm and Empathetic - you are able to adapt to any situation by personalizing responses and educating our community while remaining level headed in tough situations.
• Ability to learn and adapt to new technologies
• Working with leadership to develop and enhance internal policies, processes and tools.
• Bachelor’s Degree or equivalent.
• Additional insurance investigation or program management experience are a plus.
• Experience handling insurance claims, especially in the field of first party property or liability claims is preferred.
• Understanding of ‘Third Party Administrators/Adjusters’ concepts is a plus
• Media training or brand-risk management is a good to have.
• Experience with Partner or Vendor relationships is preferred.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

About the Role

We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.

The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.

This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.

Your day to day

Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:

• Perform data profiling analysis.
• Use SQL, data modeling and data integrity principles.
• Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
• Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
• Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
• Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
• Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
• Work with client management teams to provide support and data model expertise during client implementation.

What you bring to the team

• 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
• Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
• NoSQL data model experience.
• Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
• Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
• Experience with schema evolution, lossless data modeling, and data versioning strategies.
• Strong background in SQL, data profiling, and metadata creation and maintenance.
• Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
• Excellent collaboration skills to work with data architects, engineers, and client implementation teams.

What we would like to see, but not required

• Healthcare reporting experience.
• Experience with OBT, data lakehouse, and metadata management frameworks.
• Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
• Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
• Experience with data governance, security, and regulatory compliance in healthcare data management.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Title: Senior AI QA Engineer
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior AI QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Title: Senior QA Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

As a Senior QA Engineer for our Precision Patient Care Pipeline, you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies.

Key Responsibilities:

• Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations.
• Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics).
• Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity.
• Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation.
• Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics.
• Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior.

Requirements:

• 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation.
• Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems.
• AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, and custom scoring algorithms). Familiarity with tools like LangSmith, Arize Phoenix, or MLflow.
• Vibe Coding Mastery: Proficiency with AI-native development tools such as Cursor, Windsurf, Claude Code.
• Modern Automation Stack: Proficiency with frameworks like PyTest, and experience with traditional tools (Cypress, Playwright, or Selenium) for end-to-end flows.
• API & Data Testing: Solid understanding of API testing (Postman/RestAssured) and database validation (SQL/NoSQL).
• Strategic Thinking: Experience serving as a Subject Matter Expert (SME) on test process development for large-scale systems.

Preferred (Good to Have):

• Clinical Domain Knowledge: Familiarity with healthcare data standards such as FHIR, HL7, or SNOMED CT.
• Healthcare Compliance: Understanding of HIPAA regulations and the nuances of handling ePHI/PHI.
• Statistical Foundation: Understanding of sensitivity, specificity, and F1-scores in a clinical context.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Summary

As an AR analyst in Acurus you have to analyze status of claims for the outstanding balances on patient accounts and taking appropriate actions. Manage A/R accounts by ensuring accurate and timely follow-up. Ensure that the deliverable to the client adhere to the quality standards

What you'll do

• Review AR claims, understand the denial reason, resolve the issue and take the claim to closure
• Analyze the accounts allocated in AR Tool and to take appropriate actions
• Research and interpret from the available data in billing software, EOB, MR, authorization and understand the reasons for denial/underpayment/no response
• Check claim status through third party web portals, Insurance websites
• Take corrective actions covering resubmission of claims, transferring to correct payer
• Understand the client requirements and specifications of the project
• Measured based on the payments collected due to AR efforts of the individual

What you have

• Any Degree
• A brief understanding on the entire Medical Billing Cycle.
• Minimum 3 Year’ work experience as an AR analyst in Revenue Cycle Management Process
• Knowledge on Denials management and A/R fundamentals will be preferred

Nice-to-haves

• Knowledge of Healthcare terminology and ICD/CPT codes will be considered a plus
• Use of medical billing software will be considered an advantage
• Work Place Chennai

Title: Treatment Coordinator
Practice: Bloomington Oral Surgery
Location: Bloomington, IN
Office Hours:  

• Monday: 7:30am - 5pm
• Tuesday: 7:30am - 5pm
• Wednesday: 7:30am - 5pm
• Thursday: 7:30am - 5pm
• Friday: 7:30am - 5pm
• Saturday: Closed
• Sunday: Closed

Position Purpose:

The Treatment Coordinator plays a vital role in managing patient care treatment plans and ensuring that patients understand and proceed with their recommended treatment. This position involves patient interaction, detailed communication, and administrative support to facilitate smooth and effective patient care from diagnosis through treatment completion.

Essential Functions

Patient Consultation and Education:

• Meet with patients to discuss their treatment plans as outlined by the surgeon.
• Explain treatment procedures, potential outcomes, and financial obligations.
• Answer patient questions and address concerns about their treatment options and plans.
• Provide educational materials and resources to help patients understand their treatment.
• Follow-up calls to patients that did not schedule and work to remove roadblocks to get treatment completed.

Treatment Plan Coordination:

• Coordinate the scheduling of treatments, surgeries, and follow-up appointments.
• Ensure that all necessary pre-treatment steps, such as lab work or imaging, are completed.
• Monitor patient progress and follow up to ensure adherence to treatment plans.
• Adjust treatment schedules as needed in response to patient needs or surgeon recommendations.

Financial Coordination:

• Discuss treatment costs with patients and provide detailed estimates.
• Review insurance coverage and assist patients with understanding their benefits.
• Coordinate with the billing department to manage insurance claims and payments.
• Develop and discuss payment plans for patients who require financial assistance.

Administrative Duties:

• Maintain accurate and up-to-date patient records in the electronic health record (EHR) system.
• Prepare and manage treatment-related documentation.
• Communicate effectively with clinical and front office team members to ensure seamless patient care.
• Handle patient communications, including appointment reminders and follow-up calls.
• Other duties as assigned by the practice administrator.

Compliance and Confidentiality:

• Ensure adherence to healthcare regulations and privacy laws, including HIPAA.
• Maintain patient confidentiality and secure handling of sensitive information.
• Follow clinic policies and procedures to maintain compliance with healthcare standards.

Qualifications

Education:

• High school diploma or equivalency, required.

Experience:

• Previous experience in a healthcare setting, particularly in treatment coordination or patient care roles, is highly desirable.
• Full understanding of surgical guide treatment from patient consultation to execution.
• Knowledge of relevant regulations and compliance requirements in healthcare.

Performance Requirements:

• Approachable, professional demeanor
• Strong communication and interpersonal skills.
• Detail-oriented and thorough in task execution.
• Excellent organizational and multitasking abilities.
• Proficiency in using electronic health record (EHR) systems and other office software.
• Knowledge of medical terminology and healthcare practices.
• Ability to work in a fast-paced environment and handle stressful situations with professionalism.
• Empathetic and patient-focused approach to care coordination.
• Independent decision-making skills and utilization of sound judgement.

• We offer Medical, Dental, and Vision Insurance plans to our full-time employees.
• Two out of the three medical plans offered include Health Savings Account (HSA) eligibility.
• Company-paid Life, AD&D and Long-Term Disability coverage.
• Additional Voluntary Life and AD&D Insurance for you and your family!
• Voluntary Short-Term Disability Insurance available to you as well
• Dependent Care Flexible Spending Account (FSA) offered.
• Immediately begin saving for retirement through our 401(k) starting with very first paycheck!
• Employer 401(k) contribution and Profit Sharing after six months of employment
• PTO and 8 Paid holidays for fulltime employees!

DISCLAIMER

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work.  This is not an exhaustive list of all duties and responsibilities.  OPS’s management reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. 

ABOUT THE ROLE

The Manager – Digital Transformation, Utilities will serve as the central coordination and execution member for advancing digitalization across distribution utilities within the Grids of the Future portfolio. This is a high-impact, cross-functional role that bridges strategic programme delivery, stakeholder engagement, technology deployment, and institutional capacity building. The incumbent will work closely with distribution companies (DISCOMs), grid operators, government energy ministries, multilateral institutions, technology vendors, and civil society organisations to drive measurable transformation outcomes at scale.

The role demands equal command of sector-specific technical knowledge — particularly in distribution utility operations, grid modernisation, software engineering, and energy data infrastructure — and of the human and organisational dimensions of large-scale digital change. The successful candidate will be equally comfortable presenting a roadmap to a utility board, reviewing a technical architecture with an engineering team, negotiating a data-sharing protocol with a regulator, and steering a cross-vendor delivery sprint.

KEY RESPONSIBILITIES

Digital Transformation Strategy and Programme Delivery

• Lead the design and execution of multi-year digital transformation roadmaps for distribution utilities, covering smart metering (AMI/AMR), SCADA/DMS upgrades, outage management systems (OMS), and integrated asset management platforms.
• Develop programme charters, milestone frameworks, KPI dashboards, and risk registers aligned with organisational priorities and donor/funder reporting requirements.
• Translate high-level transformation mandates into actionable work plans with clear ownership, resource allocation, and dependency mapping across technology, operations, and regulatory workstreams.
• Track and report programme progress to senior leadership, boards, and international stakeholders; prepare Board-ready briefings, donor reports, and policy submissions.
• Manage budget cycles, procurement processes, and contract oversight for digital initiatives, including vendor selection, SoW review, and performance monitoring.

Distribution Utility and Grid Digitalisation

• Provide technical advisory and implementation support to distribution utilities on grid digitalisation: smart grid architecture, IoT sensor deployment, SCADA integration, geographic information systems (GIS), and field force automation.
• Advise on regulatory and commercial frameworks for digital utilities: cost-of-service tariff mechanisms, regulatory asset base treatment of digital capex, and benchmarking against international best practice (EU DSO model, India RDSS, African utility digitalisation programmes).
• Support utilities in adopting advanced metering infrastructure (AMI), prepaid metering, distributed energy resource management systems (DERMS), and virtual power plant (VPP) frameworks.
• Facilitate utility-level data governance frameworks — meter data management systems (MDMS), data lakes, and secure data exchange protocols — in compliance with applicable data protection law including the India DPDP Act 2023.
• Assess AT&C loss reduction opportunities through digital interventions including smart billing, automated fault detection, and AI-powered loss analytics.

Software Engineering Oversight and Technology Delivery

• Engage directly with engineering teams — internal and vendor-side — on software architecture, integration design, API specifications, and release planning for utility digital products.
• Oversee technical delivery of software products, platforms, and integrations: sprint governance, code quality standards, DevOps/CI-CD pipeline management, and technical debt prioritisation.
• Review and provide input on system design documents, technical specifications, and vendor software proposals; ensure proposed solutions are robust, scalable, and fit for utility operating environments.
• Bridge the gap between business requirements from utility stakeholders and engineering execution, ensuring technical teams have clear, well-specified backlogs and utility counterparts understand delivery constraints.
• Evaluate build vs buy vs configure decisions for utility digital components and guide procurement accordingly.

Big Data, AI and Advanced Analytics

• Oversee the design and deployment of big data infrastructure for utilities: data pipelines from smart meters, SCADA systems, weather APIs, and demand-response platforms into centralised analytics environments.
• Champion the use of AI/ML models for demand forecasting, predictive maintenance, fault detection and classification, energy theft detection, and customer segmentation.
• Evaluate and onboard AI product vendors, conducting technical due diligence on model performance, data infrastructure requirements, integration APIs, and explainability standards.
• Establish model governance protocols including data quality standards, bias audits, retraining schedules, and version control to ensure trustworthy AI deployment in critical infrastructure.
• Build internal capability through training programmes, Centre of Excellence frameworks, and knowledge management platforms so that utilities can eventually self-sustain AI-driven operations.

Change Management and Organisational Transformation

• Design and lead structured change management programmes using established frameworks (Prosci ADKAR, Kotter 8-Step, or equivalent) to drive adoption of digital systems within utility workforce structures.
• Conduct stakeholder mapping, change readiness assessments, and impact analyses for each transformation initiative; develop communication and engagement plans for different audience segments.
• Partner with utility HR and L&D functions to design digital skilling curricula for field engineers, billing teams, control room operators, and senior management.
• Manage change fatigue and resistance in large bureaucratic organisations; coach utility leadership on digital culture and agile ways of working.
• Track adoption metrics, benefits realisation, and behavioural change indicators alongside technical deployment milestones.

Ecosystem Coordination and Stakeholder Engagement

• Serve as the primary relationship manager for technology companies, solution providers, system integrators, and platform vendors operating in the utility digital space.
• Coordinate with government bodies (Ministry of Power, CERC/SERCs, BEE, ISA, IRENA, SEforALL, and comparable regional bodies) on policy alignment, regulatory sandbox proposals, and joint programme design.
• Represent GEAPP's Grids of the Future team at industry forums, utility roundtables, and international energy conferences; build and maintain a professional network across the utility digital ecosystem.
• Facilitate consortium arrangements between utilities, technology providers, and financiers for large-scale digital infrastructure deployments.
• Support knowledge-exchange partnerships with peer organisations, development finance institutions (AfDB, ADB, WB, IFC), and bilateral aid agencies engaged in utility digitalisation.

Monitoring, Evaluation and Learning

• Design and operationalise MEL frameworks for digital transformation programmes, including theory-of-change mapping, logframe development, and results measurement.
• Oversee collection, validation, and analysis of programme data; produce periodic performance reports and impact assessments for internal governance and external accountability.
• Embed continuous improvement cycles including retrospectives, lessons-learned documentation, and adaptive management into programme delivery processes.

REQUIREMENTS

Education

• Bachelor's degree (mandatory) in Electrical Engineering, Computer Science, Software Engineering, Information Systems, or a related technical field.
• Master's degree (strongly preferred) in Energy Systems, Technology Management, MBA, Public Policy, or equivalent.
• Relevant certifications (desirable): PMP / PgMP, PRINCE2, Prosci Change Management, AWS/GCP/Azure Data, SAFe Agile, TOGAF, or utility-specific credentials such as IEEE Smart Grid certifications.

Professional Experience

• Minimum 7–9 years of progressive experience spanning software engineering, digital transformation, and programme management, with at least 3 years directly in the energy or utilities sector.
• Demonstrated track record of successfully managing end-to-end digital transformation programmes from concept through commissioning — ideally within a distribution utility, energy ministry, multilateral organisation, or consulting firm serving these clients.
• Hands-on software engineering background: experience in designing, building, or overseeing development of enterprise-grade software products, APIs, data platforms, or utility-facing applications, with the ability to engage credibly with engineering teams on architecture, code quality, and delivery.
• Hands-on experience with distribution utility operations: understanding of T&D network operations, OMS/DMS/EMS/GIS systems, meter-to-cash processes, and commercial billing systems.
• Experience working with or within a DISCOM, state power utility, or equivalent regulated energy entity is strongly preferred.
• Prior exposure to climate finance, green energy, or international development programming is advantageous.
• Must be based in New Delhi or willing and able to relocate to New Delhi prior to joining. The role involves regular in-person engagement with government bodies, utility leadership, and partners in the National Capital Region.

Technical & Sector Knowledge

• Digital Transformation

  • End-to-end transformation architecture: technology assessment, solution design, vendor management, and change delivery.
  • Digital maturity modelling and diagnostic frameworks for utilities.
  • Experience deploying at least two of: AMI, SCADA/DMS, ERP (SAP IS-U or Oracle CC&B), GIS, field force automation, or customer self-service portals.

  Software Engineering

  • Solid foundation in software engineering principles: system design, APIs, microservices architecture, DevOps/CI-CD pipelines, and cloud-native development.
  • Proficiency in at least one backend language (Python, Java, Node.js, or equivalent) and familiarity with frontend frameworks sufficient to review and guide development teams.
  • Experience managing or working alongside engineering squads: sprint planning, code review culture, technical debt management, and release governance.
  • Hands-on exposure to building or integrating utility-facing software such as billing systems, MDMS, mobile field force apps, consumer portals, or grid management dashboards.
  • Ability to evaluate vendor software on technical merit by reviewing architecture diagrams, integration specs, and API documentation without relying solely on vendor claims.

  Programme and Project Management

  • Strong command of PM methodologies: Waterfall, Agile/Scrum, and hybrid approaches.
  • Experience managing multi-workstream, multi-stakeholder programmes with budgets exceeding USD 2 million.
  • Proficiency in PM tools such as MS Project, Jira, Smartsheet, or Asana.
  • Risk management, issue escalation, and executive reporting across complex programme portfolios.

  Change Management

  • Structured change management methodology (ADKAR, Kotter, or equivalent) applied to technology adoption in large organisations.
  • Communication planning, training design, and benefits realisation tracking.
  • Experience managing union-heavy or government-owned utility environments preferred.

  Big Data and Data Engineering

  • Understanding of data pipeline architecture: ingestion, storage (data lake/warehouse), transformation, and visualisation layers.
  • Familiarity with AMI/MDMS data flows, time-series energy data, and GIS data integration.
  • Exposure to cloud data platforms (AWS S3/Glue/Redshift, GCP BigQuery, Azure Synapse) and BI tools such as Power BI, Tableau, or Looker.
  • Data governance: data dictionaries, data quality management, and master data management in a utility context.

  AI and Machine Learning Products

  • Working knowledge of AI/ML application areas for utilities: demand forecasting, predictive maintenance, energy theft detection, fault classification, and customer analytics.
  • Ability to evaluate AI vendor proposals including model performance metrics, training data requirements, integration feasibility, and explainability.
  • Experience establishing or contributing to an AI governance or model risk framework.
  • Familiarity with LLMs and generative AI use cases relevant to utility back-office and field operations.

  Distribution Utility Domain Knowledge

  • Deep understanding of the distribution utility value chain: generation procurement, transmission interface, distribution network operations, commercial metering, billing, and consumer interface.
  • Familiarity with AT&C loss reduction programmes, RDSS (India), or comparable international grid investment frameworks.
  • Understanding of DER integration challenges: rooftop solar, EV charging load management, net metering, and DERMS deployment.

  Stakeholder and Partner Coordination

  • Ability to manage diverse, cross-sector stakeholder ecosystems: regulators, utilities, government ministries, technology vendors, financiers, and civil society.
  • Experience structuring and managing partnerships, MoUs, data-sharing agreements, and consortium arrangements.
  • Comfort engaging at senior leadership, board, and ministerial levels as well as at technical working-group level.

  Additional Desirable Skills and Attributes

  • Knowledge of regulatory structures: tariff orders, CERC/SERC proceedings (India), or equivalent national regulatory frameworks in other jurisdictions.
  • Cybersecurity awareness for OT/IT convergence environments: IEC 62351, NERC CIP standards, and secure communications for SCADA and AMI networks.
  • Understanding of climate finance instruments relevant to utility infrastructure: concessional loans, green bonds, results-based financing, and blended finance structures.
  • Experience with international development organisations (World Bank, ADB, USAID, GIZ, FCDO) and their programme design and reporting norms.
  • Familiarity with ISO 55000 (Asset Management) in the context of utility digitalisation.
  • Knowledge of open-source platforms relevant to energy: OpenADR, OpenDSS, FIWARE, or OSCP for EV/charging management.
  • Experience with regulatory sandbox design or innovation facilitation in regulated utility environments.
  • Prior experience as a CTO, VP Engineering, or Head of Digital in an energy sector organisation is a strong differentiator.
  • Multilingual capability is an advantage, particularly Hindi or other languages relevant to GEA's programme geographies.

Skills & Competencies

• Systems Thinking: Ability to see technical, commercial, and institutional dimensions of utility transformation as an integrated whole; designs solutions that address root causes rather than symptoms.

  Influence Without Authority: Achieves alignment and action across government bodies, utility management, and vendor partners without direct reporting lines.

  Adaptive Leadership: Navigates ambiguity in complex, politically sensitive environments; adjusts approach based on stakeholder dynamics and evolving programme context.

  Data-Driven Decision Making: Defaults to evidence and quantitative analysis while remaining sensitive to qualitative and contextual factors that shape utility organisations.

  Communication Excellence: Translates technical complexity into clear, compelling narratives for non-technical audiences; equally effective in boardrooms, field visits, and policy forums.

  Delivery Orientation: Strong bias for action and accountability; builds structured tracking mechanisms and holds self and others to agreed milestones and standards.

  Collaboration and Inclusion: Builds high-performing cross-functional teams; actively includes diverse perspectives from utility field staff to senior ministry officials.

Work Environment and Travel

• Primary base: New Delhi, India. Candidates must be based in or willing to relocate to New Delhi before joining.
• Regular in-person engagement with government ministries (Ministry of Power, MNRE), DISCOMs, and NCR-based partners is integral to the role.
• Hybrid work arrangement; significant presence at utility sites, government offices, and partner locations required.
• Domestic and international travel expected at 30–40% annually, including visits to utility field sites, state capitals etc.
• Must be comfortable working across time zones to coordinate with multilateral partners, development banks, and government counterparts.
• Professional development allowance for certifications, conferences, and executive education