Senior Data Scientist-RWE

About the role

ADVI Health: Expert Advice. Clear Vision. Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide. We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments. ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at www.advi.com We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you'll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You'll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most. Analytics and coding work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies for pharma clients. Job Duties - 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.

Responsibilities

• Lead components of analyses or deliverables under general guidance.
• Conduct independent research and interpret data.
• Support proposal inputs and client-ready materials.
• Mentor Associates on basic methods and quality standards.
• Core Competencies
• Technical Proficiency
• 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, reg

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