Position Summary:

We are seeking a detail-oriented and analytical Manager, Pharmacy Pricing Appeals to join our Provider Relations team. In this role, you will be responsible for managing and resolving the interaction with the pharmacies related to pricing appeals and claims review requests submitted by the pharmacies or internal teams. This includes performing an initial review of the claim and associated pricing, providing the information to internal teams for review, managing any claim adjustments that may be needed, and communicating any necessary information back to the pharmacies. You will play a critical role in ensuring fair reimbursement practices and maintaining strong relationships with pharmacy partners. 

Position Responsibilities:

• Lead the review and improvement of the pharmacy pricing appeal process in coordination with the Analytics team.
• Lead the review and evaluation of the pricing appeal regulatory requirements with the Legal team.
• Manage intake pharmacy pricing appeals or claims reviews from the pharmacies or internal teams via the applicable intake methods required by internal processes and regulations. This involves managing applicable appeal in-boxes and intake methods.
• Evaluate pharmacy-submitted appeals to ensure they meet established criteria and provide the applicable information to the appropriate internal teams for review.
• Receive the internal claim pricing review and respond to the appealing pharmacy with the information.
• Manage the internal process to update any pricing or make claim adjustments as necessary.
• Collaborate with pharmacies and internal teams to reach equitable reimbursement outcomes.
• Provide appeal response information and feedback to the pharmacies as required.
• Provide clear and timely updates to pharmacies and other stakeholders regarding appeal statuses and outcomes.
• Maintain accurate records of appeals and generate reports on trends and discrepancies.
• Lead the development of and manage the claims review process at the NDC level.
• Support other projects as assigned by the Provider Relations team.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance.

Minimum Qualifications:

• Bachelor’s degree required.
• 5+ yrs. of experience in reviewing claims or payment appeals in healthcare, pharmacy, PBM, or other relevant experience. Such prior experience in a pharmacy pricing appeals role includes experience in managing regular correspondence and communication with pharmacies.
• In-depth knowledge of pharmacy operations and drug pricing.
• Familiarity with PBMs and their role in pharmacy reimbursement.
• Strong analytical and problem-solving skills.
• Strong project management skills.
• Excellent communication and interpersonal abilities.
• Experience with and understanding of pharmacy claims processing, pharmacy adjudication systems, and reimbursement workflows.
• Knowledge of state or federal pricing appeal laws.
• Intermediate level of proficiency with Microsoft Excel, Word, PowerPoint.
• Proven track record of working in a fast-paced environment, managing multiple tasks at once and having a go-get attitude to provide persistent outreach to pharmacy providers to close out contracts and tasks.
• Ability to work independently, track work/projects appropriately and remain on task.
• Strong communication skills with the ability to develop effective working relationships with providers and internal and external stakeholders.

Preferred Qualifications:

• Certification in pharmacy technician or related field is a plus.

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

We are seeking a Principal to join Target RWE’s Quantitative Sciences (QS) organization. In this role, you will help shape how we design, execute, and communicate real-world clinical studies using Target’s data.

This is a highly cross-functional and client-facing role. You will bring strong analytical and scientific expertise, paired with the ability to apply the right level of methodological rigor for the question at hand, balancing credibility, practicality, and clarity. You will work closely with internal teams and external partners to ensure analyses are scientifically sound, clearly communicated, and aligned with real-world use cases.

You will serve as a key representative of Target’s scientific capabilities, engaging directly with pharmaceutical and biotech partners, supporting client discussions, and helping translate complex analytical approaches into clear, actionable insights.

What You’ll Do

Applied Methodology and Study Design

You will ensure that Target’s analyses are scientifically rigorous, practical, and aligned with real-world use.

• Guide the design of observational studies using real-world data, including retrospective and prospective analyses
• Apply statistical and epidemiologic methods in a practical, fit-for-purpose way
• Develop and review study protocols and statistical analysis plans
• Ensure analyses are reproducible, interpretable, and aligned with regulatory and scientific expectations
• Partner with internal teams to translate research questions into practical analytic approaches

Client-Facing Scientific Leadership

You will serve as a key scientific voice in client and partner interactions.

• Participate in and lead client meetings to explain study design, methodology, and results
• Translate complex analytical concepts into clear, accessible language for diverse audiences
• Support business development efforts by helping communicate Target’s scientific approach and data value
• Represent Target in external settings, including conferences, scientific collaborations, and partner discussions
• Build trust with clients by providing thoughtful, pragmatic, and credible scientific guidance

Cross-Functional Collaboration

You will connect data, analytics, and business needs across the organization.

• Partner closely with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams
• Help shape analytic strategies that align with both scientific goals and customer needs
• Provide guidance to the Quantitative Sciences team on study design and interpretation
• Mentor team members on balancing methodological rigor with practical execution
• Contribute to internal best practices for scalable, high-quality evidence generation

What You’ll Bring

• PhD or MS in biostatistics, epidemiology, health economics, data science, or a related field
• 10+ years of experience working with real-world data (EMR, claims, registry, or clinical trial data)
• Strong foundation in observational study design and applied statistical methods; experience with real-world pragmatic clinical trial designs is a plus
• Demonstrated ability to apply methods pragmatically, selecting the right approach for the problem
• Willingness to engage directly with data and analyses as needed, with working knowledge of R and/or SQL to support exploratory work, validation, and collaboration with analytic teams
• Experience working directly with clients or external partners in life sciences or healthcare
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly
• Comfortable operating in client-facing settings, including meetings, presentations, and scientific discussions
• Strong collaboration skills across technical and non-technical teams

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Location: Remote (For Non-Local) or Hybrid (Local to NYC, Denver, or Charlotte) 

Position Summary:

The Account Manager, PBM is responsible for timely and accurate management and execution of all client benefit requests, including benefit changes, eligibility changes, and new implementations. Support implementation of new plans, pricing, and networks, consistent with strategic or administrative intent.

Position Responsibilities:

• Partner with clinical account manager (CAM) and account executive (AE) to manage clients through the entire lifecycle from implementation through go-live and renewal on a designated book of business  

• Support implementation as a critical member of the client management teams with all day-to-day client requirements 

• Responsible for timely and accurate management and execution of all client benefit requests, including benefit changes, eligibility changes, override requests, demos and new implementations 

• Analyze incoming client requests and work with internal and external teams to complete required plan documentation 

• Support implementation of new plans, pricing, and networks, consistent with strategic or administrative intent 

• Lead pre- and post-implementation quality assurance and testing to validate coding accuracy 

• Lead claim reviews to proactively identify discrepancies or inaccuracies and develop solutions to address 

• Travel requirements not to exceed 25% 

• Handle and resolve sponsor and member issues, escalating as needed 

• Research and respond to claims processing and system configuration inquiries 

• Coordinate integration of other data inputs into client management processes 

• Collaborate cross functionally to support general client operations, as required 

• Responsible for relationship management and contribution to successful NPS and Account Management Survey results, along with retention support 

• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Qualifications:

• Undergraduate bachelor’s degree, with record of strong academic performance 

• 5+ years of proven experience in PBM / health plan, benefits consulting, healthcare 

• Track record of building trusting internal and external relationships 

• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables 

• Experience working with structured and unstructured data 

• Proficient in Microsoft Office, SQL a bonus 

• Ability to balance multiple complex projects simultaneously 

• Exceptional written and verbal communication skills 

• Extremely flexible, highly organized, and able to shift priorities easily 

• Attention to detail & commitment to delivering high quality work product 

Visa Sponsorship: Capital Rx does not provide sponsorship to any candidates. This includes, but is not limited to those that require H1-B, TN, OPT, etc. Candidates must have authorization to work in the US at the time of application and throughout employment. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. 

The Data Product Manager will drive forward the evolution of Target RWE’s research data products, spanning both existing retrospective datasets and the development of new, differentiated offerings. This role is central to building high-quality research datasets derived from EHR data across Target RWE’s network of clinical sites, as well as linked data sources such as claims.

The Product Manager will lead cross-functional initiatives, including the development of novel research variables and the implementation of AI-enabled data curation at scale. You will partner closely with quantitative sciences, engineering, clinical, and data curation teams to translate clinical and scientific needs into robust, customer-ready data products.

This role requires deep familiarity with healthcare data and EHR documentation patterns, strong clinical research acumen, and the ability to apply clinical insight to ambiguous data challenges. The Data Product Manager reports to the Head of Data Innovation and is a core member of the Product organization.

What You’ll Do

• Own and drive cross-functional workstreams to build, maintain, and evolve Target RWE’s research datasets.
• Maintain product roadmaps for clinical research datasets in hepatology and other disease areas, incorporating input from stakeholders.
• Oversee end-to-end preparation and delivery of research datasets to customers.
• Manage customer-facing documentation, including analytic guides, training materials, and dataset documentation.
• Ensure data product quality by maintaining and prioritizing a backlog of enhancements and leading cross-functional investigations and improvements.
• Assist in the development of new research variables, from conceptual design through implementation, incorporating feedback from clinical and scientific experts.
• Design and conduct exploratory analyses of EHR data to understand how variables of interest are captured in real-world clinical documentation.
• Partner with engineering to pilot AI-based curation approaches, evaluate performance, and drive iterative improvements.
• Develop abstractor guidance and specifications, in collaboration with clinical and data curation teams, to produce gold-standard datasets for AI model training.
• Interface with pharma customers to educate them on Target RWE’s data products, answer questions, and understand real-world usage and needs.

What You’ll Bring

• Deep experience working with healthcare data, including EHR data and other patient-level data sources such as claims.
• 5+ years of experience in healthcare data, real-world evidence, or clinical research.
• Strong ownership mindset with a track record of delivering high-quality, complex work.
• Comfort with clinical concepts and the ability to interpret real-world EHR documentation; enthusiasm for building domain expertise in relevant disease areas.
• Strong data intuition, including understanding data models, designing basic analyses, and interpreting results.
• Comfort operating in ambiguous, evolving problem spaces.
• Ability to shape initiatives from the ground up, provide structure, and clearly scope work for cross-functional teams.
• Proven ability to drive complex initiatives and serve as the “quarterback” in a collaborative, cross-functional environment.
• Excellent written and verbal communication skills, including direct experience working with external customers.
• Familiarity with healthcare data standards and terminologies (e.g., LOINC, RxNorm, SNOMED) preferred.
• Clinical background (e.g., RN, NP) strongly preferred.

If you are ready to be part of a team where your work truly matters - where your expertise isvalued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Head of Statistics

Overview

NoviSci is a data science organization with a dual mission: 1) developing best-in-class software to support the generation of RWE and 2) executing high-impact, tech-enabled scientific consulting and research.

We are seeking a Head of Statistics who will own the statistical functional area- serving as the center of excellence for statistical rigor, methodology, methods standardization, and professional development across the organization. This is a hands-on leadership role for a methodologist who wants to build: building a team, building methods, and building the statistical backbone of real-world evidence software.

You will work shoulder-to-shoulder with the Head of Science, Product, Engineering, and Statistical Software Development, translating advanced causal inference and epidemiologic methods into robust software requirements, clear APIs, and scalable analytical tools. If you enjoy making hard statistical problems accessible, and care deeply about scientific credibility, this role is for you.

Statistical leadership & strategy

• In collaboration with the Head of Statistical Software Development, define and execute the statistical methods roadmap across products and services
• Serve as the functional center of excellence for statistical rigor, methods standardization, code reproducibility, and adoption of advanced causal inference and epidemiologic methods for real-world data
• Lead the development and implementation of causal inference, advanced epidemiologic, and statistical methods for real-world evidence generation, ensuring scientific rigor, transparency, and reproducibility
• Guide the design of longitudinal and observational study workflows, including uncertainty quantification and sensitivity analyses
• Represent NoviSci’s statistical perspective with external partners, clients, collaborators, and at scientific venues as a subject-matter expert

Product partnership (requirements, architecture, APIs)

• Collaborate with Product, Statistical Software Development, and Engineering to:
• Translate statistical and methodological needs into product requirements and roadmaps
• Advise on high-level system and architecture decisions
• Co-design API specifications (inputs/outputs, parameterization, defaults, error handling, diagnostics) and review PRDs/tech specs for statistical fidelity
• Provide reference implementations and simulation harnesses used as ground truth for verification; help design CI checks and validation datasets
• Establish documentation standards for methods notes, assumptions, and user-facing guidance

High-value scientific delivery

• Serve as a senior statistical contributor on select research pods, providing high-level expertise, validating analyses, and pioneering new methods
• Architect statistical designs for causal estimation of complex interventions under confounding, missingness, and dependent censoring
• Develop and review statistical analysis plans (SAPs), code, figures, and outputs for validity, reproducibility, and regulatory readiness
• Support quality and compliance processes in partnership with the Head of Operations, ensuring analysis validation, audit trails, and reproducibility standards are met

Thought partnership for clients

• Act as a senior statistical advisor to client teams (HEOR, Med Affairs, Epi); help mature their internal evidence pipelines and governance
• Evaluate statistical methodology choices for complex study designs, including distributed and federated analyses
• Guide clients on methods choices for regulatory submissions and HTA assessments

Team building & mentorship

• Serve as functional manager for all statisticians: hire, mentor, train, and conduct performance reviews
• Develop and enforce standards and SOPs for statistical analysis, code reproducibility, and methods adoption across the statistics group
• Foster a rigorous, supportive, and learning-oriented culture within the statistics functional group
• Uplevel engineers and PMs on statistical, advanced epidemiologic methods, including causal inference; uplevel statisticians on software craft (versioning, testing, CI/CD, profiling)

Required background

• PhD (or equivalent) in Biostatistics, Statistics, Epidemiology, or a related quantitative field
• 4+ years of post-doctoral experience spanning causal inference, advanced epidemiologic methods, statistical software development, and real-world data (claims, EHR, registries)
• Demonstrated track record of leading complex observational studies through publication and/or regulatory use
• Deep, hands-on expertise in causal inference and advanced epidemiologic methods for real-world data, including:
• Target trial emulation
• IP weighted estimators for confounding, missingness, and censoring
• Clone-censor-weighted estimation of dynamic treatment regimens
• Marginal structural models (MSMs), IPTW, and IPCW
• Uncertainty quantification and sensitivity analysis
• Proven ability to translate statistical and methodological requirements into product requirements, architecture trade-offs, and API designs in close partnership with engineering
• Strong experience with R, including package development, testing, and performance profiling
• Experience collaborating closely with software engineers in a production or near-production environment
• Evidence of thought leadership (publications, invited talks, open-source contributions, or methods papers)

Nice-to-have background

• Experience designing statistical APIs or platforms used by external customers
• Familiarity with regulatory expectations for RWE (e.g., FDA, EMA guidance on real-world evidence)
• Experience with CMS/Medicaid data governance and multi-source linkage/tokenization
• Prior experience managing or mentoring senior statisticians or data scientists
• Experience working in a fast-paced, product-driven or startup environment
• Comfort with protocol/report generators and figure/table QA pipelines (e.g., Quarto/R Markdown)
• Fluency with AI/ML coding tools (e.g., GitHub Copilot, Cursor) and comfort incorporating them into statistical programming and reproducible research workflows

If you’re excited to advance the science of real-world evidence in an environment where statistical rigor directly shapes both client impact and software innovation, NoviSci is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

Our Integrated Marketing team partners closely with product, product marketing, SEO/AEO, CMS, lifecycle marketing, paid media, and web publishing to bring our brand and campaigns to life across every customer touchpoint.

As we expand our search visibility, organic social presence, and cross-channel campaign execution, we are investing in thoughtful, research-backed messaging that supports acquisition, engagement, and brand authority in the legal tech space.

About your role

• As a Content & Social Marketing Intern, you’ll support high-volume copy production across lifecycle marketing, paid media, website/AEO updates, and organic social channels. This is an early-career opportunity ideal for someone building foundational skills in copywriting, content strategy, and social marketing within a fast-paced SaaS environment.
• You’ll collaborate closely with marketing managers, designers, and video partners to adapt messaging across formats, support social listening efforts, and contribute to research-backed content. You’ll gain hands-on experience translating brand voice into multi-channel marketing assets that support growth and visibility.

How you will make a difference day to day

Support Cross-Channel Copy Execution

• Create and adapt campaign messaging across email, paid media, social, and website formats.
• Draft copy for recurring marketing initiatives, seasonal moments, and GTM launches.
• Ensure consistency in brand voice across channels and asset types.
• Update situation-based landing pages as new guidelines and formats are established.

Support Organic Social & Community Engagement

• Assist with social listening and trend monitoring to identify timely content opportunities.
• Draft responses and engage in comments across social platforms.
• Research competitors and industry conversations to inform positioning.
• Contribute ideas for social series or content pilots aligned with growth goals.

Research & Operational Support

• Conduct research for positioning claims, survey data, and performance-backed messaging.
• Organize shared documents, content libraries, and workflow trackers.
• Document recurring marketing processes and content guidelines.

Cross-Functional Collaboration & Growth

• Collaborate with the design, social, web publishing, and SEO/AEO teams to understand campaign goals and channel requirements.
• Participate in creative reviews and feedback sessions.
• Learn how messaging supports SEO/AEO, paid performance, and organic growth strategies.
• Develop foundational skills in brand storytelling, performance marketing, and content optimization.

What you’ll need

• Currently pursuing or recently completed a degree in Marketing, Communications, Journalism, Social Media, or a related field.
• Strong written communication skills with attention to tone and clarity.
• Interest in copywriting, content strategy, and social media marketing.
• Ability to manage multiple small projects and meet deadlines.
• Comfort receiving feedback and iterating on written work.
• Curiosity about digital marketing, search visibility, and audience engagement.

A plus if you have 

• Basic understanding of social media platforms and other marketing channels like email, paid ads, etc. 
• Familiarity with tools such as Figma (for collaboration), Sprout Social, and Google Docs.
• Portfolio showcasing writing samples (academic, freelance, or personal projects).
• Interest in legal tech, SaaS, or educational content.

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Final Interview

Shopmonkey is looking for a Senior Product Manager to join our dynamic team, help us build the next generation of our platform, and lead to a dedicated squad of product, design, and engineering individuals. At Shopmonkey, we're not just building software; we're on a mission to help every auto repair shop thrive. We believe that with the right tools, shop owners can run their businesses smarter, faster, and more profitably. We are a fast-paced, collaborative, and customer-obsessed team, and we're looking for a senior product leader who shares our passion for getting under the hood and solving real-world problems. Please note for candidates in the San Francisco Bay area, this is a hybrid role with 2-3 days per week on-site at our Morgan Hill, CA office to collaborate and stay connected.

What You Will Do:

You’ll define and evangelize product needs for our core customers, representing Product in customer engagements and partnering closely with customer-facing teams to deliver maximum value. Your ability to communicate prioritization decisions, technical nuances, and the voice of the customer will impact thousands of auto shops across North America.

This is a unique role that requires an organized, impact-oriented, and customer- and product-focused individual who is comfortable with ambiguity, takes initiative, and builds strong, collaborative relationships across teams and with customers.

• Define Product Strategy: Define and champion the strategic direction, product vision, and roadmap for your squad, aligning with overall company goals and objectives. Stay attuned to industry trends, competitive dynamics, and emerging technologies that influence our space.
• Drive Execution: Lead feature scoping, prioritization, and trade-off discussions — knowing when to say no to achieve the best outcomes. Translate vision into clear product requirements and user stories, managing the backlog to ensure maximum impact and alignment with company goals.
• Lead Cross-Functional Teams: lead, inspire, and collaborate with engineering, design, marketing, and customer-facing teams to ensure successful launches, adoption, and measurable outcomes. Work with leadership to connect strategic plans to actionable, prioritized initiatives with clear metrics and timelines. 
• Collaborate Across Squads: Collaborate closely with other squad leads and stakeholders to coordinate efforts, resolve dependencies, and optimize resource allocation.
• Champion the Customer: Conduct research, analyze data, and synthesize insights to deeply understand the needs of our diverse customers — from small independent shops to multi-location enterprises. Use these customer insights and data analytics to guide decisions.
• Own the Full Lifecycle: Oversee the end-to-end product lifecycle — from ideation and validation through launch, iteration, and optimization. Measure success using product metrics such as adoption, engagement, and customer satisfaction, and use these to guide continuous improvement.

What You Bring:

• 6+ years of successful product management experience leading complex software products with cross-functional teams
• Proven track record of shipping SaaS products from concept to launch in a fast-paced, startup setting
• Excellent leadership and collaboration skills to build trust, bridge gaps between teams, and influence without authority
• Tenacity and ample leadership experience enabling you to lead, influence and organize complex, core feature projects
• Exceptional verbal, written, and presentation communication skills with experience engaging senior leadership and customers
• Data-driven mindset with the ability to balance qualitative insights and quantitative metrics
• Familiarity with modern product and project management tools (e.g., Linear, Productboard, Wrike)
• Hungry, fast-learner mindset with a bias towards action.
• Ability to travel periodically for customer visits, events, and workshops
• Bonus: Experience in the automotive space or in mobile app development

In the United States the range is typically $140,000 to $160,000 with bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Shopmonkey is looking for a Senior Product Manager, Fintech to join a dynamic Product team and serve as product lead to a dedicated squad of Product, Design, and Engineering individuals focused on helping auto shops thrive. Your role is to understand our customer's needs, develop innovative solutions, and make thoughtful resourcing trade-offs. Your ability to communicate your prioritization decisions, technical nuances of problems, and the voice of the customer will impact thousands of auto shops across North America. This role requires an extremely organized, impact oriented, and product-focused individual who is comfortable with ambiguity, taking initiative, and building collaborative relationships with stakeholders and customers. If you are looking for a new, challenging opportunity and building amazing software for thousands of customers, we'd love to talk with you! Please note for San Francisco Bay area candidates, this role would be hybrid, with 2-3 days/week in office for collaboration and connection. 

You will have the opportunity to:

Define Product Strategy: Develop and champion a compelling Fintech vision and long-term roadmap based on market research, shop feedback, and business objectives. Monitor the Fintech industry and insights into the competitive landscape and best practices.

Drive Execution: Drive feature scoping, prioritization efforts, and trade-off conversations – knowing what to say no to to achieve the best outcome. Craft detailed requirements and product specifications. You'll manage the product backlog to deliver maximum impact. 

Lead Cross-Functional Teams: Work closely with engineering, design, payment operations, marketing, sales, and legal teams to ensure successful product launches and market adoption.

Be the Voice of the Customer: Conduct in-depth user research and data analysis to deeply understand SMB and Enterprise customer pain points and needs. Use these insights to make informed product decisions.

Manage the Full Lifecycle: Oversee the entire product lifecycle, from ideation and validation, to launch and iteration. You'll track key product metrics, such as user engagement and revenue, using them to measure success and guide future development.

To Be Successful In This Role, You Will Need:

Product Management Experience: 6+ years in successful product management experience, with at least 3 years building Fintech products in SaaS

Fintech Expertise: launching and managing B2B embedded FinTech such as Payment Processing, Buy Now Pay Later, Capital/Lending, Banking, Payroll, AR/AP, Compliance (KYB/KYC), Loyalty Programs, etc.

Customer First Mindset: working with customers to gather feedback and requirements. Experience in working directly with sales and business development leaders to close customer deals. Ability to travel periodically for customer visits, events and on-site workshops.

Leadership and Communication: ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. Exceptional verbal, presentation, and written communication skills and the ability to interact with diverse groups including senior management 

Startup Mentality: Hungry, fast-learner mindset. Biased towards execution, with extreme ownership over your product’s success and outcomes. Proven ability to work in a fast-paced, dynamic, and entrepreneurial environment. demonstrated ability to drive product strategy, roadmap, and go-to-market motion for new products

In the United States the range is typically $140,000 to $165,000 with bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

We're looking for an Engineering Manager I to lead one of our autonomous feature squads. You'll own the day-to-day engineering leadership of a cross-functional team (1 PM, 1 Designer, 4–5 engineers) responsible for a meaningful area of the Shopmonkey platform. This is not a "project manager with an engineering title" role. You are technical, you are in the code, and you care deeply about how software gets built — not just that it ships. You won't be on the critical path for planned project work, but you'll be deeply involved in guiding your team through every phase of the SDLC: scoping, design, implementation, testing, release, and iteration. Your job is to make your team faster, sharper, and more effective — by coaching, unblocking, and identifying the gaps nobody else sees. You'll also contribute directly to the codebase. Not as a primary feature developer, but as a force multiplier — proactively improving code quality, tackling the work that falls between the cracks, and leading by example when it matters.

Our platform is built on two primary monorepos (backend and frontend) using TypeScript throughout. The stack includes React, Node.js, Next.js, Redux, and Redis on the application side; CockroachDB and ClickHouse for data; Synadia NATS for messaging; and GCP for infrastructure. We use OpenTelemetry and Prometheus for observability, with supporting services in TypeScript and Go. We don't expect expertise across all of these — we're looking for strong fundamentals and the ability to learn quickly.

What you will do:

• Lead a feature squad end-to-end: people, process, and technical direction.
• Own performance management for your engineers — regular 1:1s, growth conversations, honest feedback, and formal reviews.
• Partner closely with your PM and Designer to shape quarterly project plans that balance customer value, technical health, and business impact.
• Guide your team through the full SDLC — you should be competent and opinionated at every stage, from system design through production observability.
• Contribute to the codebase as a technical force multiplier: filling gaps, improving quality, and modeling engineering standards.
• Operate within our quarterly planning and 2-week cycle cadence, helping your squad maintain focus and predictability.
• Build and maintain a healthy remote-first team culture — clear communication, strong async habits, and flexibility balanced against team needs.
• Participate in hiring — sourcing, interviewing, and closing engineering talent for your squad and the broader org.

We are looking for people who have:

• 2+ years of formal engineering management experience, leading a team of software engineers through shipping production software.
• A strong technical foundation — you've built and operated production systems and can earn credibility with senior ICs through your technical judgment.
• Proven ability to coach and develop engineers across multiple levels.
• High emotional intelligence and communication skills. You navigate ambiguity, give hard feedback with care, and build trust quickly — especially important in a remote environment.
• Sound business judgment — you understand why the team is building what it's building, and you push back when priorities don't make sense.
• Experience working in cross-functional product teams (PM, Design, Engineering).
• Comfort with remote-first work across time zones. You value flexibility but put team needs first.

In the United States, the range is typically a salary of $145,000 to $180,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Job Summary

The Regional Sales Manager is responsible for leading and executing sales strategies to drive incremental growth from independent agents through regular contacts and training. The RSM is responsible for the network of agents within the Mid-Atlantic territory (Tennessee, North Carolina), They will report to the Director of Business Development. 

This role involves working closely with agents, brokers and other distribution partners to expand market share, enhance client relationships, and ensure alignment with underwriting and profitability goals. The Regional Sales Manager will analyze market trends, identify new business opportunities, and collaborate cross-functionally with underwriting, claims, and marketing teams to deliver tailored insurance solutions, including workers comp, that meet the evolving needs of small to mid-size commercial clients. This role involves regular travel up to 60% of the time with some overnights required. This is an individual contributor role, you will not be managing people. 

Position Responsibilities

• Identify key independent agents that can utilize products offered by ISC to assist their customers.
• Train new agents and new agency employees on ISC products and processes.
• Meet with agents and their staff in their offices on a regular basis.
• Add additional agencies to your territory that can drive growth.
• Drive new and renewal production from your assigned agencies.
• Partner with marketing, sales, and product development teams to implement business development initiatives.
• Assist in the roll-out of new program programs.
• Maintain producer marketing database (Salesforce).
• Facilitate product webinars and website demonstrations.
• Participate in various industry trade shows designed to drive additional business.
• Travel up to 60% of the year.

Minimum Qualifications

• Bachelor’s Degree in Business, Marketing, Communications, or a related field required
• Minimum of 4+ years’ previous sales and/or marketing experience
• Demonstrated oral and written communication skills.
• Experience in the commercial insurance industry is a plus, but not required.
• Proficiency in Microsoft Outlook, Excel, and Word, and aptitude to navigate software easily
• Ability to travel up to 60% of the year.

This role also offers bonus pay. Your ISC Talent Acquisition representative will share more details about the bonus component should you advance in the interview process. #LI-remote #P&C #Insurance #remote 

Advanced Practice Clinician (Clinical Lead) - Hepatology

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Target RWE is seeking an energetic, experienced Advanced Practice Provider (NP, PA or MD/DO) to support our expanding Hepatology therapeutic area in the real-world evidence space. This individual will bring deep expertise in managing complex liver diseases, with a specific focus on cirrhosis, leveraging the unique perspective of an APP.

The APP Clinical Lead reports to the Chief Clinical Officer and is responsible for assisting with clinical aspects of Target RWE's hepatology clinical evidence generation, ensuring scientific rigor and strategic alignment with industry partners while delivering high-quality, impactful insights within a collaborative, scientific environment.

What You’ll Do

• Hepatology Clinical Leadership: In collaboration with the Chief Clinical Officer, facilitate the development and execution of hepatology real-world evidence (RWE) and prospective studies, ensuring relevance to liver disease, methodological soundness, and alignment with industry partner needs.
• Industry Partner Collaboration: Serve as a key clinical liaison for industry partners within the hepatology space, understanding their evidence generation needs, and working within a collaborative team environment to translate them into actionable RWE projects.
• Scientific and Clinical Oversight: Provide expert clinical guidance across all phases of Target RWE hepatology projects, from protocol development to data accuracy, data analysis, interpretation, and dissemination.
• Thought Leadership: Represent Target RWE as a thought leader in hepatology clinical evidence generation, participating in scientific conferences, publishing research, to advance the field.
• Strategic Growth: Contribute to the overall strategic direction of Target RWE, identifying opportunities for growth and innovation within hepatology research.

What We Are Looking For

• Clinician, e.g. Nurse Practitioner (NP), Physician Assistant (PA), or medical doctor (MD/DO), with active credentials and certification.
• 5+ years of clinical experience managing patients with liver disease, including a strong focus on patients with cirrhosis.
• Direct clinical experience working at a medical center affiliated with a liver transplant program.
• Deep knowledge and experience with current and emerging therapies across the hepatology landscape.
• Strong communication skills with the ability to translate complex science into clear strategic insights.
• Comfort working in a fast-paced, collaborative, and entrepreneurial environment.

Preferred Qualifications

• Demonstrated experience in clinical research, real-world evidence, epidemiology, or clinical trials.
• Prior experience in biopharma, CRO, health tech, or RWE organizations.
• Record of scientific contributions (e.g., publications, trial support, advisory roles).
• Experience working with large real-world datasets (EHR, claims, registries)
• Additional clinical experience managing patients with Gastrointestinal (GI) diseases.

If you’re excited to contribute to systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new RTP office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

CPI Security is looking to hire a Human Resources Operations Director (HRD) to serve our team and is based in Charlotte, North Carolina.  CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation’s top 10 largest security providers with over 750 employees. Over the years, CPI has received many awards for excellence, such as twice-awarded SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. The company leads the industry in alarm response times, is consistently ranked in the top 10 of electronic security businesses and is widely known as North Carolina and South Carolina’s Top 25 Best Places to Work. 

Position Summary:

The HR Operations Director leads CPI's day-to-day human resources function with primary emphasis on employee relations, benefits administration, leave management, and oversight of the HR Business Partner team. This role ensures that HR services are delivered consistently, compassionately, and in compliance with all applicable laws and regulations. The Director serves as a trusted advisor to leadership on people matters and drives continuous improvement of HR processes, policies, and programs that support a positive and productive employee experience.

Essential Functions:

 HRBP Team Oversight & Leadership

• Directly manage and mentor the HR Business Partner team, providing guidance on day-to-day HR support for assigned business units. This team includes two HRBPs and a Benefits Specialist.
• Facilitate regular HRBP team meetings to share best practices, discuss emerging issues, and ensure consistent application of HR policies and programs.
• Support HRBPs in navigating complex situations involving performance improvement, organizational change, workforce planning, and employee engagement.
• Identify development opportunities for HRBP team members and cultivate a high-performing, collaborative HR function.

Employee Relations

• Serve as the senior point of contact for complex employee relations matters including workplace investigations, conflict resolution, disciplinary actions, and grievance procedures.
• Coach and counsel managers and HRBPs on performance management conversations, corrective action plans, and termination processes to ensure consistency and legal compliance.
• Monitor trends in employee relations cases and recommend proactive interventions, training, or policy updates to mitigate risk and improve the employee experience.
• Ensure thorough documentation of all employee relations matters and maintain confidential records in accordance with company policy and applicable regulations.
• Partner with Legal Counsel on sensitive employment matters, EEO complaints, and agency charges as needed.

Benefits Administration

• Oversee the design, implementation, and ongoing administration of all employee benefit programs including medical, dental, vision, life, disability, retirement/401(k), and ancillary plans.
• Manage annual open enrollment processes, vendor relationships, plan audits, and billing reconciliation.
• Ensure compliance with ERISA, ACA, COBRA, HIPAA, and other applicable federal and state benefits regulations.
• Evaluate benefit plan performance, utilization data, and employee feedback to recommend cost-effective enhancements that support recruitment and retention goals.
• Serve as the escalation point for complex benefits claims, appeals, and employee inquiries.

Leave Administration

• Direct the administration of all leave programs including FMLA, ADA interactive process/accommodations, short-term and long-term disability, workers' compensation, and company-specific leave policies.
• Ensure accurate tracking, timely communication, and compliant management of all leave cases from initiation through return-to-work.
• Coordinate with benefits carriers, third-party administrators, and payroll to ensure seamless processing of leave-related transactions.

HR Operations & Compliance

• Oversee core HR operational processes including employee onboarding/offboarding, HRIS administration, personnel file maintenance, and policy management.
• Ensure compliance with all applicable federal, state, and local employment laws and regulations; lead internal HR compliance audits and remediation efforts.
• Maintain and optimize HRIS systems and HR technology tools; evaluate and recommend enhancements to improve efficiency and data integrity.
• Develop and maintain HR reports, dashboards, and scorecards to support data-driven decision-making across the HR function.
• Advise and support employee engagement initiatives, including event planning, recognition programs, and culture-building activities. 

Knowledge, Skills and Abilities Required:

• Well-rounded, professional human resources experience in areas such as employee relations, safety and compliance, systems administration, talent development, performance management, talent acquisition, and/or policy creation/application.
• Demonstrated experience developing and implementing HR policies and procedures from a benefits administration, HR data reporting, and overall organizational perspective.
• Experience managing benefits programs, including claims escalations, billing and audit, plan design and legal/best practice compliance.
• Excellent communication and interpersonal skills, with a track record of building strong relationships with internal and external stakeholders both up and downstream.
• Ability to work independently and manage multiple projects simultaneously while providing delegating tasks to team members and periodic status updates to business stakeholders.
• Strong analytical and problem-solving skills, with experience mining, reviewing, and applying data to assist the business in informed decision-making.
• Strong knowledge of HR laws and regulations related to benefits administration and HR data reporting, including experience with HR compliance audits.

Other Experience Required:

• Bachelor's degree in Human Resources, Business Administration, or a related field; or equivalent combination of education and relevant experience.
• 8+ years of progressive HR experience with significant depth in employee relations, benefits, and leave administration, including at least 3 years in a leadership/management role.
• 5+ years of experience managing HRIS systems, UKG preferred.
• HR certification (PHR, SPHR, SHRM-CP, or SHRM-SCP) preferred.

What We Offer:

• Competitive pay and the opportunity to work for an iconic brand 
• Great medical, dental, vision, short- & long-term disability and life insurance options   
• Company paid holidays, floating holiday, and paid time off (PTO)   
• 401(k) plan with competitive company match   
• Eligible for free monitored security system after 90 days 
• Education assistance – we encourage and support our employees who want to improve their skills and further their education   
• Engaging and fun company culture that’s made up of a diverse group of people   
• Volunteer and community engagement opportunities. CPI partners with organizations that share our mission to save and improve lives, particularly focusing on underserved communities.   
• An on-site café, coffee/smoothie bar, walking trail, basketball court, and state-of-the-art fitness facility with a dedicated Fitness staff 
• Birthday and Work Anniversary Rewards 

NoviSci, a division of Target RWE, is a data science organization with a dual mission:

1.  Developing best-in-class software to support the generation of RWE and
2.  Executing high-impact, tech-enabled scientific consulting and research.

Overview

We are currently seeking a Senior Epidemiologist to join a team of epidemiologists, statisticians, data engineers, and software developers. Together, you will lead the design and implementation of research studies using complex, real-world data. In this role, you will apply leading-edge methodology in epidemiology and statistics to solve important problems in health care.  

What You’ll Do

• Independently design and conduct research studies using advanced epidemiologic and statistical methods, such as causal inference and machine learning
• Lead a cross-functional technical team to ensure scientific integrity and methodological rigor across all phases of the study lifecycle including initial design, protocol development, implementation of statistical analysis, and dissemination of results
• Serve as a key scientific point of contact, engaging directly with clients and external collaborators. Comfort and proficiency in client-facing roles are essential skills 
• Disseminate study findings via study reports, presentations to internal and external stakeholders, peer-reviewed publications, and abstracts and presentations at professional conferences
• Provide technical support to the business development team to develop competitive scientific proposals 

What You’ll Bring

• Advanced degree (PhD or equivalent) in epidemiology, biostatistics, or a related quantitative discipline
• 4+ years of post-doctoral experience, preferably in a biotech or scientific consulting environment
• Experience with observational research methods for causal inference (e.g., inverse probability weighting, negative control outcomes/exposures, target trial emulation, quantitative bias analyses) coupled with a genuine intellectual curiosity to dig deep and explore novel approaches to answer hard questions
• Demonstrated experience leading research projects teams from conception to publication 
• Experience with administrative claims or electronic health record data, including familiarity with using diagnosis, procedure, and medication coding algorithms to operationalize eligibility criteria, exposure status, and clinical outcomes in real-world data.
• Strong aptitude for precise and impactful scientific writing evidenced by a record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation. 
• Strong organizational and planning skills including an ability to independently troubleshoot problems and think analytically in a fast-paced environment
• Willingness to take initiative while maintaining open lines of communication with colleagues and senior leadership. 
• Excellent time management skills and ability to multi-task and prioritize work

Nice-to-Have Background

• Expertise in statistical programming using R
• Experience mentoring junior research staff

If you’re excited to help support meaningful healthcare research, where your expertise directly contributes to rigor, trust, and improved patient outcomes, NoviSci is the place for you. We’re building something important, and we’d love for you to be a part of it.

What We Offer You

• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave
• Hybrid role: Located in Research Triangle Park, North Carolina

At Target RWE, our mission is driven by a deep commitment to people, whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.

Overview

In this role, you will be a foundational member of Target RWE’s Quantitative Sciences (QS) organization, helping to establish Target as a leader in rigorous, reproducible, and regulatory-grade evidence generation. You will serve as a scientific owner of Target’s data, developing deep expertise in its structure, quality, and applications while helping to build scalable data validation, curation, and analytic processes that ensure reliability and usability.

Working closely with cross-functional partners in Product, Engineering, Clinical Operations, and Medical Science, you will design and execute analyses that demonstrate the value of Target’s data, support customers across life sciences, regulatory, and academic settings, and build scalable, standardized analytic approaches for real-world evidence generation.

What You’ll Do

1. Data Ownership and Quality 

• You will establish Target’s data as a trusted, validated scientific asset.
• Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis.
• Develop deep expertise in Target’s data, understanding its structure, provenance, strengths, and limitations.
• Design and implement validation frameworks, data quality checks, and “fitness-for-use” assessments.
• Create and maintain data dictionaries and documentation that promote transparency and reproducibility.

2. Analytical excellence 

• You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets.
  • Support the design and execution of retrospective and prospective studies using Target’s data assets.
  • Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses.
  • Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products.
  • Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility.
  • Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences.
  • Contribute to publications, abstracts, and collaborations that advance Target’s scientific reputation and influence.

3. Cross functional partnership

• You will work cross-functionally to connect data, science, and strategy, ensuring Target’s evidence generation aligns with customer needs and business goals.
• Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities.
• Serve as the internal “voice of the customer,” anticipating how clients, regulators, and researchers will use Target’s data.
• Participate in client and partner meetings to demonstrate the validity and value of Target’s data products.
• Leverage your deep knowledge of Target’s data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies.
• Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target’s data quality, representativeness, and scientific utility.

What You’ll Bring

• Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field. 
• 5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).
• Strong programming expertise in R, and experience with reproducible analytic frameworks.
• Proven expertise in data quality assessment, validation, and curation workflows.
• Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies.
• Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams.
• Demonstrated ability to translate data insights into actionable scientific or business recommendations.

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave