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Real-World Evidence (RWE) Scientist Consultant

Remote | Full-Time 6-Month Contract | 2 Openings

About the Role

We’re hiring hands-on RWE Scientist Consultants for a growing pharma HEOR/RWE function supporting late-stage and launch-phase programs. This is an individual-contributor role — you’ll personally build and run real-world studies, not just direct others. You’ll take ownership of a disease-area data program and work closely with therapeutic area leadership to turn evidence questions into rigorous, decision-ready analyses using claims, EHR, and registry data.

What You’ll Do

• Design and run observational studies (e.g., disease burden, treatment patterns, comparative effectiveness) using large healthcare datasets
• Write the code yourself — primarily in R, with SQL/SAS/Python as needed against claims, EHR, and registry data — from cohort-building through final analysis
• Develop protocols, analysis plans, and feasibility assessments, including confirming data availability before a study kicks off
• Apply sound epidemiologic methods (causal inference, bias control) suited to observational data
• Contribute findings to evidence dossiers, regulatory-facing materials, and publications (manuscripts, abstracts, conference presentations)
• Occasionally review outsourced vendor analyses for quality — an as-needed part of the work, not a management responsibility

What You’ll Bring

Required:

• Advanced degree in epidemiology, biostatistics, health services research, or a related field (PhD, MD, PharmD, MPH, or MSc)
• 8+ years of hands-on observational research experience in pharma, biotech, or HEOR consulting
• Proven ability to program and run analyses independently, end-to-end, in claims/EHR/registry data (R preferred; SQL, SAS, or Python valued)
• Solid grasp of epidemiologic methods and regulatory/HTA evidence expectations for RWE
• Strong writing and communication skills, including scientific publication experience
• Comfortable working autonomously with shifting priorities

Preferred:

• Experience with AI-assisted coding tools (e.g., Claude Code)
• Rare disease or specialty therapeutic area experience
• Experience with external control arms or target trial emulation

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