To Apply for this Job Click Here
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