Senior Data Scientist-RWE

About Us

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.

To learn more... visit us at www.advi.com

Overview

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.

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.
• Develop 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.
• Mentor Associates on basic methods and quality standards.

Core Competencies

• Technical Proficiency: Master’s or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field
• Problem Solving: Experienced in both qualitative & quantitative research, survey design, and analyses.
• Accountability: At least 7 years of related experience, with SAS programming experience.
• Mentorship: 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences.
• Client Awareness: Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making.

Qualifications

• Education: Master’s or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field
• Experience: 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.

Preferred Qualifications

• Additional Experience: 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.

Location

Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements.

Compensation and Benefits

• Annual Base Salary Range: $126,000 - $158,000 plus a bonus plan.
• Benefits: Medical, dental, and vision; 8 paid holidays, including one ADVI Anniversary Day per calendar year; 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting; Health Reimbursement Account; Life and short-term and long-term disability insurance; Paid vacation and sick leave.

Diversity Statement

ADVI’s commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself.

Vision

To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.

Mission

To provide life science and healthcare innovators the benefit of our team’s wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care.

Values

• Act with Integrity
• Strive for Excellence
• Make an Impact
• Think smart, Stay curious
• Celebrate the Journey, not just the results