Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

Role

We are looking for a backend-oriented Senior Software Engineer to help us advance our clinical AI by designing and building core systems that handle, process, and analyze clinical data at scale. The ideal candidate for this role has a track record of delivering complex features in incrementally valuable releases and with a high bar for quality. While this role focuses on backend systems, strong candidates are able to deliver across the stack.

**This role is fully remote within the US**

What You’ll Do

• Design, build and launch new backend services, capabilities and improve the overall quality of SmarterDx’s apps
• Collaborate across disciplines to understand our users and iterate on new ideas
• Protect patients’ privacy and security through secure coding practices
• Research and advocate for improved techniques, processes, and designs within the team
• Support SmarterDx’s apps in production

What You Bring

• 5+ years of development experience with a focus on backend and cloud-based solutions
• Expertise in Python 
• Experience working with Postgres or a similar relational database
• Experience building cloud-native distributed systems and working with event-driven architectures
• Experience working with data scientists to plan, build, and iterate on deliverables
• Experience working in a security-conscious environment
• Excellent communication and team collaboration skills
• Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

Nice To Haves

• Experience at a scale-up, or rapid growth, technology company 
• Experience in the health tech domain, particularly in hospital billing systems
• Experience working with Kubernetes
• Experience working with Airflow and tools that handle ELT pipelines
• Experience with Snowflake and dbt
• Experience with full stack ownership and development (Javascript/React)

Our Stack

Python, React, Kubernetes, Postgres, AWS, Terraform,  ElasticSearch/OpenSearch, Airflow, Snowflake

Compensation

$190K to $230K base salary

#LI-DNI

Role

As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team.

What You'll Do

• 45% Hands-on implementing new methods and relevant baseline models (ML Research)
• 20% Working cross-functionally to deploy models into production (MLOps, MLE)
• 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise)
• 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting)
• Become a domain expert at clinical data and the healthcare ecosystem
• Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps)
• Post training to align large language models (LLMs) on proprietary clinical data
• Develop new self-supervised pre-training tasks for improving models
• Develop novel retrieval, attribution and hallucination detection strategies for generative models
• Develop novel methods for explaining and summarizing diagnostic classifications
• Develop methods for selecting data sources to include in training (data-centric AI)
• Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels
• Develop novel methods for multimodal data fusion (structured and unstructured data)
• Long-sequence language modeling

What You Bring

• Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps)
• With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving
• Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed
• Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc
• Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv)

Nice To Haves

• MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens
• Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding

Our Tech Stack

• PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes

Compensation

$200-220k+ base salary

#LI-Remote

#LI-DNP

As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You’ll work at the intersection of research, engineering, and healthcare, partnering with engineers and clinicians to build systems that deeply understand patient records and improve hospital outcomes. This is a senior, high-impact role where you’ll not only execute on ambitious ideas but also shape the team’s research agenda and standards.

You will be expected to operate with a high degree of autonomy—identifying promising research directions, critically evaluating academic work, and ensuring that what gets built is both scientifically sound and practically useful. Your work will directly influence how we evaluate models, detect hallucinations, and build high-quality datasets, ultimately improving the reliability of AI in healthcare.

**This role is fully remote within the US**

What You’ll Do

• Lead end-to-end ML research, from idea generation to production deployment and monitoring
• Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data
• Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability
• Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity
• Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice
• Establish best practices for experimental design, including statistically sound evaluation and reproducibility
• Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment)
• Develop methods for long-context and multimodal modeling (structured + unstructured clinical data)
• Mentor other researchers and help raise the bar for research quality across the team
• Contribute to external presence through papers, talks, and recruiting

What You Bring

• Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
• Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs
• Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them
• Experience designing rigorous evaluation frameworks and building high-quality test datasets
• Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset)
• Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems)
• Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.)
• Strong programming skills in Python and ML frameworks such as PyTorch or JAX
• Experience deploying ML models into production systems and monitoring their performance
• Clear and proactive communicator, able to explain complex ideas and critique work effectively

Nice To Haves

• Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding)
• Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure)
• Experience working with clinical or healthcare data
• Background in retrieval systems, graph-based learning, or multimodal modeling

Our Tech Stack

• PyTorch, Hugging Face Transformers, Python
• AWS (MWAA), Kubernetes, SLURM
• DeepSpeed, TorchTune
• Snowflake, Airflow, GitHub

Compensation

$220k-260k base salary

#LI-Remote

Role

We are looking for a Staff Machine Learning Engineer to help us build a best in class ML Ecosystem to advance our product suite with clinical AI. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.

**This role is fully remote within the US**

What You’ll Do

• Build and scale machine-learning driven features across multiple products
• Design reusable architecture that powers and accelerates machine learning development across the company
• Set the standard for development and ML practices at SmarterDx and mentor other engineers

What You Bring

• You Bring

  • 10+ years of development experience with a focus on Machine Learning and Engineering roles
  • Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
  • Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring
  • Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features
  • Experience with cloud platforms (preferably AWS) and their machine learning services.
  • Experience project managing a small team using a modern agile methodology
  • Experiencing influencing a cross-disciplinary organization to adopt best practices
  • Strong understanding of data engineering and architecture principles.
  • Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Nice To Haves

• You're a former startup founder, or have been the first engineering hire at a startup
• Experience in the health tech domain, particularly in hospital billing systems
• Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
• Deployment of LLM systems into Production environments.
• Contributions to open-source projects or active participation in the machine learning community.

Our Tech Stack

• Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s

Compensation

$230-260k base salary

#LI-Remote

Role

As Director of Data Science at SmarterDx, you will own the direction and impact of data science across multiple product areas within our Clinical AI platform at a moment of rapid product and company growth. You will translate company strategy into clear priorities and lead teams responsible for production machine learning systems that directly shape clinical workflows and business outcomes.

This role blends technical and people leadership with close partnership across Product, Engineering, and Clinical teams. You will set modeling and quality standards, develop managers and senior individual contributors, and guide machine learning systems from concept through responsible deployment in real healthcare environments, building reliable systems and teams that customers and clinicians depend on.

**This role is fully remote within the US**

What You’ll Do

• Own and evolve the Data Science strategy across multiple product areas, translating company and product objectives into a clear, prioritized roadmap with measurable business impact.
• Drive portfolio-level prioritization, balancing near-term delivery with longer-term platform and capability investments.
• Set technical direction and standards for production ML systems, with end-to-end ownership from problem framing and data strategy through deployment, monitoring, and iteration.
• Partner closely with Product, Engineering, Clinical, and Operations leaders to embed data science into product workflows and decision-making.
• Represent Data Science in product planning and executive forums, communicating tradeoffs, risks, and impact to senior stakeholders.
• Lead and scale the Data Science organization, including managers, senior ICs, and emerging leaders, with clear expectations and ownership.
• Own hiring, onboarding, and talent development, building durable career paths and a high-performing organization.
• Champion responsible, interpretable, and clinically sound AI, ensuring models are appropriate for healthcare use and real-world deployment.

What You Bring

• 10+ years of experience in data science, machine learning, or a related field, including significant people leadership responsibility.
• Proven experience owning outcomes across multiple teams or product areas.
• Track record of influencing executive stakeholders and shaping company strategy.

• Deep expertise in machine learning fundamentals, with demonstrated ability to architect ML systems and set technical direction for senior teams.
• Experience with NLP and healthcare data, including structured and unstructured clinical text.
• Deep understanding of model evaluation, monitoring, experimentation, and real-world feedback loops.
• Familiarity with modern ML platforms, cloud infrastructure, and MLOps best practices.

• Demonstrated ability to connect technical work to revenue, margin, and customer outcomes.
• Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong judgment in balancing speed, rigor, and long-term scalability.

Nice To Haves

• Prior experience leading Data Science at a high-growth startup.
• Experience with revenue cycle management or hospital operations.
• Knowledge of explainable AI and regulatory considerations in healthcare.
• Experience building or scaling ML platforms used by multiple teams.
• Experience leveraging Large Language Models (LLMs) in production systems.

Our Tech Stack

• Python
• SQL
• PyTorch
• SageMaker
• Snowflake

Compensation

$260k to 280k base + equity incentives

#LI-Remote

Role

We’re looking for an Implementation Lead who knows revenue cycle management inside and out- and is eager to take hands-on ownership throughout the implementation, including some technical components. From the moment a deal is signed through to the day we go live, you’ll lead the way - working closely with cross-functional teams and client stakeholders to make sure our solutions fit seamlessly into our end users’ workflows and deliver real value from day 1.

You’re a natural collaborator and problem-solver, equally comfortable  in conversations with Directors of CDI to data engineers. You know how to ask the right questions, dig into data requirements and operational workflows, and bridge the gap between technical and non-technical audiences. You are excited to expand your technical skill set, taking the lead on components like SSO, sFTP and allowlisting. 

You have a sharp eye for data validation, and you know that clean, accurate data is critical to powering our clinical AI. You are confident reviewing data specifications, anallyzing files, and ensuring we start every implementation with implementation best practices and solid data.  Your attention to detail and process-oriented mindset bring clarity, order, and momentum to even the most complex implementations. 

**This role is fully remote within the US**

What You Bring

• 5+ years' experience in a healthcare related field (or, if your y-intercept is lower, evidence that your slope is super steep).
• Expertise in RCM software of EHR, preferably with certifications in Epic, Cerner, or Meditech
• In-depth knowledge of revenue cycle processes, including deep expertise in CDI, coding, or charge revenue reconciliation 
• A background in healthcare consulting and/or experience overseeing software deployments in a healthcare context.
• Proven experience as an Implementation Lead or similar role, with a focus on healthcare and revenue cycle.
• Strong project management skills, with the ability to successfully lead and execute complex implementation projects within defined timelines.
• Data analysis experience and working knowledge of SQL
• Problem solver who thinks creatively to identify solutions to problems.
• Entrepreneurial mindset. Previous experience as an early joiner in a young technology company or evidence that you are scrappy. 
• Excellent communication and interpersonal skills.
• High level of professionalism, integrity, and commitment to client satisfaction.
• Autonomy and the confidence to drive process improvements throughout times of ambiguity and changing priorities

Nice To Haves

• PMP or Six Sigma
• Experience leading implementations for new product
• Advanced SQL proficiency 
• EHR integration expertise in HL7v2 or FHIR

Our stack

• JIRA, Salesforce, Hex/Snowflake, Figma, Zapier

Compensation

$150K to $170K base salary

#LI-Remote
#LI-DNP

Role

We are seeking a Senior Business Analyst to join our Data & Analytics team in support of the Customer Success team. In this role, you will leverage your analytical expertise and business acumen to unlock the value of SmarterDx’s data assets, drive critical insights for both internal and external stakeholders, and deliver meaningful outcomes that strengthen customer trust. You will be embedded within the Customer Success team and partner closely with cross-functional stakeholders to elevate our customers’ experience and optimize business performance.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

**This role is fully remote within the US**

What You’ll Do

• Create Data-Driven Narratives: Craft compelling, results-oriented narratives that highlight client performance, uncover opportunities for optimization, and support strategic decision-making.
• Translate Data into High Impact Narratives: Synthesize complex analyses into clear, compelling, and actionable narratives that inspire customers, highlighting business impact and strategic recommendations.
• Drive Exploratory Analysis & Insight Generation: Independently scope and execute exploratory analyses using advanced SQL and analytical tools to answer ambiguous, high-priority business questions. Rapidly prototype and iterate on analyses to validate hypotheses and inform direction.
• Build Relationships: Develop strong working relationships with Customer Support and clients. Ask targeted questions and partner with executive-level stakeholders to understand the “why” behind requests and align analytics with business objectives.
• Bridge Business and Technical Teams: Serve as the liaison between technical and business teams, articulating complex findings in clear, actionable ways while influencing team roadmaps and product strategy.
• Champion Data Quality and Analytical Rigor: Set a high bar for data integrity and analytical excellence. Lead validation processes, ensure accuracy, and drive best practices across teams through peer review and collaboration.
• Lead Strategic Client Analytics: Own and drive high-impact analyses that inform client strategy, uncover opportunities for revenue optimization, and influence client product adoption.

What You Bring

• 5+ years of experience in business intelligence, data analytics, or a related field, with a demonstrated track record of driving business impact.
• Revenue Cycle Expertise: strong conceptual understanding of inpatient mid-revenue cycle processes and data.
• Advanced SQL Fluency: with the ability to write, optimize, and scale complex queries for ambiguous problem spaces.
• Strong BI & Data Storytelling Skills, with a passion for building tools and narratives that empower decision-making.
• Strategic Insight Generation, with a proven ability to translate complex data into clear, actionable recommendations.
• Commitment to Data Integrity, with rigorous validation practices and experience leading quality assurance efforts.
• Ownership Mindset, thriving in ambiguity and taking initiative to define problems, not just solve them
• Problem-solving skills: Distinctive ability to identify patterns, prioritize what's critical, and focus on impactful solutions.
• Executive Communication Skills, with the ability to influence senior stakeholders and adapt messaging across audiences.

Our Tech Stack

• Data Visualization: Hex and Omni
• Analysis:  SQL (Snowflake)
• Pipelines: dbt, airflow, git, and AWS

Compensation

$130,000 - $150,000

Clinical Coding Specialist (Inpatient)

Role

As an Inpatient Coding Specialist at SmarterDx, you will be responsible for conducting comprehensive chart reviews and coding validation of AI diagnostic models to support coding improvement. This role is instrumental in ensuring our AI models are clinically accurate and of high-quality.

**This role is fully remote within the US**

What You’ll Do

• Review and analyze medical records to ensure coding accuracy in a timely fashion
• Identify opportunities for improvement in coding models
• Understand and apply coding guidelines to assign appropriate codes to diagnoses and procedures as supported by clinical documentation
• Participate in ongoing training and professional development to stay current on documentation and coding guidelines
• Contribute to process improvement efforts to enhance coding practices and support efficient and effective healthcare delivery

What You Bring

• 5+ years of recent experience in performing inpatient coding and/or auditing
• Strong expertise in ICD-10 classification system
• Active RHIA, RHIT, and/or CCS credential(s)
• Experience reviewing complex medical records and applying coding conventions and guidelines accurately
• Familiarity with DRG and inpatient reimbursement methodologies
• Strong attention to detail and ability to identify subtle coding inaccuracies
• Experience with coding audits, QA, or validation workflows
• Strong written communication for documenting rationale and feedback

Nice To Haves

• Experience working with AI coding tools or CAC (computer-assisted coding) systems
• Prior experience in auditing or coding quality assurance roles
• Familiarity with evaluation frameworks, labeling, or annotation workflows
• Certified Clinical Documentation Specialist (CCDS) or Clinical Documentation Improvement Practitioner (CDIP) credentials

Compensation

• $75k - $105k salary + benefits, 100% US-based remote

#LI-Remote

#LI-DNP

Role

As a servant leader, you will lead and scale SmarterDx’s solution revenue cycle solution engineering function, ensuring reliable, secure, and scalable technical integrations for revenue cycle integrations from SmarterDx into health system sources (EHRs, coding systems) for our customers while providing white glove service to our health systems. You bring a strong blend of people leadership, technical fluency, and operational rigor. You understand healthcare data flows, EHR integrations, and the realities of deploying enterprise integrations in complex hospital environments. You are comfortable engaging directly with CIOs, revenue cycle executives, IT leaders, and frontline operators. You simplify complexity, build confidence, and position SmarterDx as a strategic partner rather than a vendor.

You will manage highly accomplished, fully remote revenue cycle solution consultants and partner closely with Product, Engineering, Implementation, and Customer Success to deliver seamless solutions across multiple products. This role blends strategy and execution. You will scale teams while remaining hands-on to unblock teams, solve complex technical challenges, and continuously improve how we evolve within the revenue cycle space.

**This role is fully remote within the US**

What You’ll Do

• You are energized by managing a highly experienced team, including experts whose knowledge may surpass your own, and you take pride in empowering them and bringing their insights together into a clear, unified strategy.
• Ensure excellence in revenue cycle solution delivery across all new and existing customer deployments, ensuring implementations are reliable, scalable, and delivered on time.
• Recruit, mentor, and lead a high-performing team of client-facing revenue cycle solution consultants, fostering a culture of accountability, technical excellence, and continuous learning. 
• Cultivate and maintain solution design standards, documentation, and best practices across revenue cycle integrations (including API, HL7, and database extract integrations).
• Partner with Implementation, Product, and Engineering teams to align complex solutions with product strategy and client timelines.
• Serve as an escalation point for complex or high-risk integrations, providing hands-on technical guidance.
• Collaborate with customer technical teams, including EHR, data, and IT stakeholders, to develop secure and compliant data exchange.
• Establish metrics and reporting for integration performance, throughput, and reliability, and communicate insights to company leadership.
• Continuously improve integration tooling, automation, and processes to support scale as SmarterDx grows.
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability.

What You Bring

• 7-10+ years of experience in healthcare technology implementation, with at least 5 years in a senior leadership role (responsible for high impact portfolios, managing teams of 10+ resources, or both).
• 5+ years experience in both hospital revenue cycle management, including in-depth knowledge of hospital revenue cycle workflows, with particular emphasis on clinical charge capture through claims processing
• Hands-on experience and expertise in building revenue cycle solutions across HL7, FHIR, API integration, and database extracts for complex integrations with large health systems and enterprise customers, including extensive experience designing revenue cycle solutions with inpatient EHRs (including Epic, Cerner)
• Excellent people leadership skills, with a track record of empowering high performing technical leaders, setting clear expectations, and driving results. 
• Strong delivery management skills, with the ability to manage multiple complex initiatives across customers and products.
• Persuasive and clear in client-facing written and verbal communication, with the ability to confidently engage with health system resources from executives to analysts while mitigating risks. You’re a pro at translating business and clinical requirements into technical integration solutions (and vice versa)
• Analytical mindset with the ability to use data to forecast capacity, identify bottlenecks, and measure success.
• Experience working in startup or high-growth environments, balancing long-term strategy with near-term execution.

Nice To Haves

• Certifications or equivalent experience relevant to revenue cycle workflow subject matter expertise across major EHRs (particularly Epic)
• Experience with AI/ML solutions in healthcare
• AWS certifications or equivalent cloud implementation experience (AWS Solutions Architect, AI/ML Specialty, etc)
• Familiarity with CDI operational workflows

Our Tech Stack

• Rhapsody, Snowflake, Figma, Salesforce

Compensation

$220K to $240K base salary

#LI-Remote

#LI-DNP

Sr. Product Manager (Data)

As a Senior Product Manager for SmarterDx, you will play a pivotal role in the strategy, development, and enhancement of SmarterDx’s application. Your role involves deeply understanding both users and existing architecture and collaborating across teams (data engineering, engineering, sales, implementation, etc.) to maximize the velocity of solving important user problems, enhancing decision-making, and solving business challenges. 

You’ll serve as the bridge between data capabilities and product delivery, shaping how our organization produces, validates, and consumes data. You will develop hypotheses on how to make that data more useful across the product ecosystem, working with engineering to test their validity. Additionally, you will spend time internalizing the unique needs each client may have during implementation and collaborating with internal teams to formulate ways to deliver on those requests while balancing the priority of other ongoing initiatives. 

**This role is fully remote within the US**

What You’ll Do

• Own the strategy and roadmap for data engineering product capabilities, including data contracts, specifications, validation, and observability tooling. 
• Translate product and business needs into scalable data solutions. 
• Enable effective internal use of data capabilities by providing clear documentation and stakeholder education
• Scale the data engineering platform and processes, including their ability to scale and deliver alongside other product and engineering teams. 
• Engage with customers to understand their data needs, gather feedback, and identify opportunities for product improvements. 
• Identify opportunities for improvement of our data infrastructure and processes. 
• Write and standardize product and technical documentation and role-model strong project management practices.
• Understand and work around constraints (e.g. architecture, data availability, security, etc.)

What You Bring

• 5+ years of experience working within the healthtech/healthcare data space
• Experience working at an early-stage company or similarly fast-paced environment
• 3+ years of product management experience
• Experience working with engineering and data teams
• Expertise with EHR data and messaging standards (HL7, X12, etc.)
• Experience managing both external and internal (Customer Success, Implementations, etc.) stakeholders

Nice To Haves

• Experience as a software engineer, data engineer, or equivalent
• Proficiency in SQL

Our Tech Stack

• Databases: Snowflake (primary), Postgres  
• Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), FiveTran  
• Technologies: SQL, dbt, Python
• Integration Engines: Rhapsody 

Compensation

• $185K-$200K + benefits 

#LI-Remote

Role

We are looking for a product-oriented Staff Software Engineer to help us advance the use of our clinical AI. You’ll do this by building user-facing products that are shared across multiple products. These include login, user & permission management, billing & invoicing, metrics & reporting, and more. The ideal candidate for this role has a track record working with product managers and subject matter experts to distill complex requirements into incrementally valuable plans to build well-tailored, manageable software systems. This is a true full-stack role working 50% frontend and 50% backend.

**This role is fully remote within the US**

What You’ll Do

• Design, build and launch new multi-product features and improve the overall quality of SmarterDx’s apps
• Design, build and launch reusable frontend components that are fully featured, responsive, and accessible to improve the overall quality of SmarterDx’s apps
• Collaborate across disciplines to understand our users and iterate on new ideas
• Protect patients’ privacy and security through secure coding practices
• Research and advocate for improved techniques, processes, and designs within the team
• Support SmarterDx’s apps in production

What You Bring

• 12+ years of software engineering experience with a focus on user-facing solutions
• 3+ years in a security-conscious environment
• Expertise in TypeScript, React, and Python
• Experience working on software that aids in decision-making either through data visualization, data analytics, or configurable workflow and simulations
• Extensive experience working with product managers to shape and define requirements into small, incremental business-valuable deliverables
• Experience project managing a small team using a modern agile methodology
• Excellent communication and team collaboration skills
• Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

Nice To Haves

• You're a former startup founder, or have been the first engineering hire at a startup
• Experience designing and building information-dense user interfaces
• Experience in the health tech domain, particularly in clinical software
• Experience working with Kubernetes

Our Stack

TypeScript, React, Next.js, Python, Postgres, ElasticSearch, AWS, Kubernetes

Compensation

• $230K to $250K base salary

#LI-DNI

Role

As a Senior Data Scientist at SmarterDx, you will play a pivotal role in training cutting-edge machine learning models and ensuring their strategic integration into our Clinical AI Platform. Your work will focus on maximizing the business impact of deployed models by optimizing business logic, refining decision frameworks, and accelerating the end-to-end process of model development and deployment. You will collaborate closely with cross-functional teams to enhance our models’ clinical intelligence and delight our customers. This is a high-impact role ideal for someone who thrives in a fast-paced environment and is eager to see their work translate into tangible business outcomes.

**This role is fully remote within the US**

What You’ll Do

• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
• Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
• Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
• Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
• Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
• Adapt and enhance existing modeling approaches to drive impact in new product areas.
• Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

What You Bring

• 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
• Strong proficiency in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
• Deep understanding of statistical modeling, optimization techniques, and data analysis.
• Experience working with structured and text data, including feature engineering and data preprocessing.
• Ability to translate business objectives into data science problems and effectively communicate results to stakeholders.
• Experience deploying machine learning models into production and optimizing model performance based on real-world feedback.
• Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
• A problem-solving mindset with the ability to balance technical rigor with practical business impact.

Nice To Haves

• Experience in healthcare or revenue cycle management.
• Familiarity working with large-scale data warehouses such as Snowflake.
• Experience building internal tools or infrastructure to support machine learning experimentation and deployment.
• Previous experience working in a startup or high-growth environment.
• Knowledge of explainable AI techniques and model interpretability best practices.
• Experience developing products leveraging Large Language Models (LLMs).

Our Tech Stack

• Python
• SQL
• PyTorch
• Sagemaker
• Snowflake

Compensation

$190 to 220k base

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Role

As a Clinical Operations Specialist at SmarterDx, you will be responsible for conducting comprehensive chart reviews and clinical validation of AI diagnostic models to support clinical documentation improvement. This role is instrumental in ensuring our AI models are clinically accurate and of high-quality.

**This role is fully remote within the US**

Responsibilities

• Review and analyze medical records to ensure clinical accuracy in a timely fashion
• Identify opportunities for improvement in clinical documentation and diagnostic models
• Understand and apply coding guidelines and regulations to assign appropriate codes to diagnoses and procedures
• Participate in ongoing training and professional development to stay current on documentation and coding guidelines
• Contribute to process improvement efforts to enhance documentation practices and support efficient and effective healthcare delivery

Your qualifications

• Minimum of 2 years of experience in healthcare, preferably in a clinical setting, and a clinical documentation/coding role
• Working knowledge of medical terminology, anatomy and physiology, and healthcare documentation requirements
• Bachelor's degree in health information management, nursing, or a related medical field
• Professional certification, such as Certified Clinical Documentation Specialist (CCDS) or Certified Professional Coder (CPC), is preferred but not required.

Your skills

• Strong attention to detail and ability to analyze and interpret complex medical information
• Excellent written and verbal communication skills
• Proficiency in computer applications, including electronic medical records systems
• Ability to work independently and as part of a team
• Ability to multitask and prioritize tasks effectively
• Strong analytical skills, attention to detail and effective time management practices

Compensation

• $100k - $125k salary + benefits, 100% US-based remote

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Clinical Product Specialist (SmarterNotes)

Role

The Clinical Product Specialist (CPS) sits at the intersection of clinical medicine, AI, and product development, playing a critical role in building SmarterDx’s clinical documentation capabilities. As part of a highly cross-functional team spanning Product, Engineering, and Data Science, the CPS translates real-world physician workflows into scalable AI systems—shaping how clinical reasoning is represented, evaluated, and deployed in practice.

This role has a direct impact on product quality and clinical trust. The CPS defines and enforces the standard for clinical accuracy, safety, and usability, ensuring that what we build works for real clinicians in real care settings. For candidates interested in applying clinical expertise beyond the bedside, this is an opportunity to influence how AI supports documentation, decision-making, and ultimately patient care at scale.

**This role is fully remote within the US**

What You’ll Do

• Collaborate with Product and Data Science to build and refine prompts, pipelines, and model behavior
• Review AI-generated outputs (summaries, notes, insights) for accuracy, completeness, and clinical defensibility
• Define and operationalize clinical quality standards for models outputs
• Drive iteration loops between evaluation and model improvement to continuously raise quality
• Apply clinical judgment in ambiguous scenarios where documentation quality, trajectory, and context matter
• Partner cross-functionally to ship quickly while maintaining a high bar for clinical rigor
• Assist with designing and translating physician workflows into structured AI tasks, system logic, and product requirements
• Serve as the clinical subject matter expert for physician documentation, charting workflows, and end-to-end care delivery processes

What You Bring

• MD or DO (or equivalent advanced clinical degree)
• Clinical background with experience in inpatient or acute care settings
• Strong understanding of clinical documentation and EHR workflows
• Demonstrated ability to translate clinical thinking into structured systems, logic, or processes
• Builder mindset with comfort working on ambiguous, evolving products
• Strong analytical thinking with attention to edge cases and failure modes
• Ability to collaborate effectively with Product, Engineering, and Data Science teams

Nice To Haves

• Familiarity with AI/ML systems or prompt engineering (preferred)
• Background in clinical informatics, quality improvement, or workflow design 
• Experience working with Product, Engineering, or Data Science teams
• Experience building or scaling systems (e.g., evaluation frameworks, workflows, or tools) 
• Previous advising or consulting experience with healthcare technology companies

Compensation

• $220k-$250k base + benefits

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Clinical Product Specialist (SmarterNotes)

Role

The Clinical Specialist (CS) sits at the intersection of clinical medicine, AI, and product development, playing a critical role in building SmarterDx’s clinical documentation capabilities. As part of a highly cross-functional team spanning Product, Engineering, and Data Science, the CPS translates real-world physician workflows into scalable AI systems—shaping how clinical reasoning is represented, evaluated, and deployed in practice.

This role has a direct impact on product quality and clinical trust. The CS defines and enforces the standard for clinical accuracy, safety, and usability, ensuring that what we build works for real clinicians in real care settings. For candidates interested in applying clinical expertise beyond the bedside, this is an opportunity to influence how AI supports documentation, decision-making, and ultimately patient care at scale.

**This role is fully remote within the US**

What You’ll Do

• Serve as the clinical subject matter expert for clinical documentation, charting workflows, and end-to-end care delivery processes
• Review AI-generated outputs (summaries, notes, insights) for accuracy, completeness, and clinical defensibility
• Define and operationalize clinical quality standards for models output
• Apply clinical judgment in ambiguous scenarios where documentation quality, trajectory, and context matter
• Collaborate with Product and Data Science to build and refine prompts, pipelines, and model behavior

What You Bring

• NP or PA (or equivalent advanced clinical degree)
• Clinical background with experience in inpatient or acute care settings
• Strong understanding of clinical documentation and EHR workflows
• Demonstrated ability to translate clinical thinking into structured systems, logic, or processes
• Builder mindset with comfort working on ambiguous, evolving products
• Strong analytical thinking with attention to edge cases and failure modes
• Ability to collaborate effectively with Product, Engineering, and Data Science teams

Nice To Haves

• Familiarity with AI/ML systems or prompt engineering (preferred)
• Background in clinical informatics, quality improvement, or workflow design
• Experience working with Product, Engineering, or Data Science teams
• Experience building or scaling systems (e.g., evaluation frameworks, workflows, or tools)
• Previous advising or consulting experience with healthcare technology companies

Compensation

• $120k-$150k base + benefits

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Role

SmarterDx is seeking a Manager of Data Engineering, Development to lead and grow a high-performing data engineering team responsible for building next-generation data pipeline capabilities, architecting scalable data solutions, and developing new data products to power our clinical AI applications. You will drive innovation in our data stack and data pipelines, establish technical best practices, and ensure robust, observable, and cost-effective data architectures. You will set clear objectives, mentor engineers, as well as partner closely with Product, Clinical, Data Science, and Software Engineering teams to deliver transformative data capabilities.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

**This role is fully remote within the US**

What You'll Do

• Lead, coach, and develop a team of senior data engineers with a focus on technical innovation, platform capabilities, and engineering excellence.
• Contribute to the data engineering product roadmap by designing and implementing new data pipeline architectures, patterns, and reusable frameworks.
• Architect scalable data solutions using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to enable advanced analytics and ML capabilities.
• Establish development standards and best practices including code reviews, testing frameworks, CI/CD pipelines, and documentation standards.
• Develop sophisticated data models and transformations using advanced dbt patterns (custom macros, packages, incremental models) to enhance our production pipelines
• Collaborate cross-functionally to help translate business requirements into technical solutions and drive innovation initiatives.
• Develop automated data quality frameworks, monitoring solutions, and observability tools to ensure data reliability at scale.
• Create developer productivity tools and accelerators that enable the team to deliver features faster with higher quality.
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability.

What You Bring

• 7+ years of data engineering experience, including leadership of engineers and technical projects (architecture, design, delivery).
• Deep expertise with modern data stack: advanced dbt development, Snowflake optimization, Python, and SQL at scale.
• Strong expertise with AWS cloud architecture skills: hands-on experience in serverless and infrastructure-as-code patterns.
• Proven track record building and scaling data platforms that support analytics, ML, and product features.
• Developer excellence mindset with expertise in Git, CI/CD, testing, code reviews, and agile development practices.
• Demonstrated ability to drive technical innovation while balancing technical debt, performance optimization, and feature delivery.
• Excellent communication and technical leadership skills: comfortable driving architectural decisions and mentoring senior engineers.
• Experience in healthcare datasets with understanding of the inherent contextual and relational complexities within healthcare data.

Nice To Haves

• Experience at a scale-up or rapid-growth technology company.
• Advanced Snowflake features expertise (streams, tasks, dynamic tables, data sharing).
• Infrastructure-as-code proficiency (AWS CDK, CloudFormation, Terraform).
• ML engineering experience: feature stores, model deployment, MLOps practices.
• Healthcare interoperability knowledge (HL7, FHIR, CCD/C-CDA).
• Certifications: Snowflake (SnowPro Advanced), AWS (Data Analytics or Solutions Architect Professional), dbt, or healthcare data (CHDA/RHIA).
• Experience building data mesh architectures or domain-driven data platforms.

Our Tech Stack

• Databases: Snowflake (primary), Postgres
• Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), FiveTran
• Technologies: SQL, dbt, Python

Compensation

$190,000 - $220,000

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Role

We’re hiring a Director of Clinical Experience to build and lead the function responsible for how clinical users and health system partners experience SmarterDx.

This is a highly cross-functional leadership role at the intersection of clinical expertise, customer success, and product development. You will serve as both a strategic partner to our customers and the internal voice of the clinician—ensuring our solutions deliver meaningful value in real-world workflows.

You’ll also be responsible for building and scaling a team of clinical experts, establishing best practices for customer engagement, and shaping how we deliver a best-in-class clinical experience.

**This role is fully remote within the US**

What You’ll Do

• Build and lead the Clinical Experience function, including hiring, mentoring, and scaling a team of clinical experts
• Own clinical relationships with key health system partners, acting as a trusted advisor to clinicians, CDI teams, and executives
• Drive successful onboarding and adoption of SmarterDx’s platform across customer organizations
• Develop and standardize playbooks for clinical onboarding, training, and ongoing engagement
• Partner closely with Customer Success to improve retention, expansion, and overall customer health
• Establish and track key performance metrics (adoption, utilization, clinical impact, customer satisfaction)
• Create structured feedback loops to translate customer insights into actionable product improvements
• Collaborate with Product and Engineering to shape roadmap priorities based on real-world clinical workflows
• Support Sales as a clinical expert in late-stage deals and strategic accounts
• Identify opportunities to improve internal processes and increase scalability of clinical experience

What You Bring

• MD or DO (or equivalent advanced clinical degree)
• Deep expertise in clinical documentation, ICD-10 coding, CDI, and revenue cycle operations
• 7–10+ years of relevant experience in healthcare, with exposure to health systems or provider organizations
• Experience in a customer-facing role (e.g., customer success, implementation, clinical consulting, or solutions engineering)
• Proven track record of building and managing high-performing teams
• Strong communication skills with the ability to engage both frontline clinicians and senior healthcare executives
• Ability to translate complex clinical workflows into clear, actionable insights
• Experience working cross-functionally with product, engineering, and go-to-market teams
• High ownership mindset with the ability to operate in ambiguity and drive outcomes
• Comfort working in a fast-paced startup or high-growth environment

Nice To Haves

• Experience working at a healthcare technology or SaaS company
• Certifications such as CCDS, CDIP, RHIA, RHIT, or CCS
• Prior experience in CDI programs or revenue integrity initiatives
• Familiarity with EHR systems (e.g., Epic, Cerner) and clinical workflows
• Experience supporting enterprise sales or participating in complex deal cycles

Compensation

• $200k-$250k base + benefits

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