> Markdown version of [/jobs/ext/2845508-data-scientist-rwe](https://www.wearedevelopers.com/jobs/ext/2845508-data-scientist-rwe). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist-RWE - **Company:** ADVI Health, LLC - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $126,000.0 - $158,000.0 - **Contract:** Franchise - **Skills:** Data Analysis, SAS (Software), Information Technology, Data Pipelines - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/1c7495f0-bcc9-4407-8905-63993ccdd659/senior-data-scientistrwe ## About the Role Problem Solving Accountability Mentorship Client Awareness Requirements: * Master's or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field * Experienced in both qualitative & quantitative research, survey design, and analyses. * At least 7 years of related experience, with SAS programming experience. * 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences. * Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making. * Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data). * Solid understanding of health outcomes, cost analyses, and study designs used in HEOR and RWE research. * Experience working in HEOR, value and economics outcomes research (VEOR), or real world evidence (RWE) claims experience * Extensive experience working with health care datasets and performing quantitative research An ideal candidate may also have: * Understanding of health care policy issues in Medicare and/or Medicaid * Experience working with data offered in the CMS' Chronic Condition Warehouse * Experience working in the Virtual Research Data Center (VRDC) offered by CCW * Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data ## Description * Design and execute rigorous analyses of Medicare, Medicaid, and commercial healthcare claims data to generate real-world evidence supporting HEOR, value, and market access initiatives. * Design and lead claims-based RWE analyses evaluating utilization, cost, and quality impacts using CCW data in VRDC and other secure environments. * Develop and validate SAS programs to support observational studies, comparative effectiveness research, and health economic analyses. * Build and maintain analytical models and data pipelines using SAS to ensure accuracy, reproducibility, and scalability of HEOR analyses. * Synthesize findings into clear, compelling insights that inform payer strategy, pricing, reimbursement, and policy decisions for life sciences clients. * Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals. * Developing RWE reporting systems, continuous data quality optimization, and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making. Key Responsibilities * Lead components of analyses or deliverables under general guidance. * Conduct independent research and interpret data. * Support proposal inputs and client-ready materials., Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. 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