Healthcare Data Scientist (RWD)
MedeloopClinical Research company
San Francisco, United StatesSenior
General Catalyst
Inovia Capital
Icon Ventures
Maven Ventures
Healthier Capital
Up2 Opportunity Fund
Data & AI
About the role
TL;DR
Analyze real-world healthcare data to answer complex questions and shape AI-powered clinical research.
- •We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI-powered clinical research.
- •Key Responsibilities Build and execute real-world evidence analyses using large-scale claims and EHR data.
- •Write scalable code (SQL and Python; R also welcome) to define cohorts, model patient journeys, and generate reproducible research outputs.
- •Apply clinical and statistical judgment to evaluate treatment patterns, utilization, and outcomes in observational data.
- •Partner with customer institutions to scope research questions, deliver evidence, and drive adoption of the platform.
- •Requirements PhD, or a Master’s degree minimum plus 5+ years of industry experience, in a quantitative-health field.
- •Strong grounding in real-world data/evidence (RWD/RWE) methodology.
- •Proven ability to answer complex clinical or biopharma questions using SQL and Python, plus statistical software (R and/or SAS).
- •Experience with large healthcare datasets, such as claims or EHR data.
- •AI/ML experience required, with clear evidence of hands-on use.
Required skills
SQLPythonRPandasscikit-learnGit
Nice-to-have skills
NumPy
Domain expertise
healthcare
Tech stack
SQLPythonRPandasNumPyscikit-learnGitLinuxJiraConfluencePostmanREST API