Note: The job is a remote job and is open to candidates in USA. ADVI Health is a leading partner in market access and commercialization for life sciences and healthcare innovators. They are seeking a Senior Data Scientist specializing in Real-World Evidence (RWE) to leverage advanced data science methods to inform policy, pricing, and patient access decisions in healthcare.
Responsibilities
- 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
- 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
Skills
- 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
- 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
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
Company Overview
Company H1B Sponsorship