Senior Data Scientist - Real World Data
Core
Transform Real World Data (EHR, claims) into structured assets and conduct RWD analyses to support scientific decision-making and drug portfolio evidence.
Role type
Senior IC data scientist (healthcare RWD & data engineering)
Builds
Analytics-ready datasets, scalable data pipelines, and reproducible observational studies
Domain
Life sciences / Healthcare data engineering / Real-world evidence
Deliverable
production ML models
Required skills
SQL, Python, Snowflake, dbt, Dagster, OMOP, causal inference, cohort construction, RWD study design, Generative AI (LLMs)
Preferred skills
UMLS/LOINC/ICD9-10/MeSH ontologies, commercial RWD vendor experience (Truveta, Optum, IQVIA), regulated data governance
Technologies
Snowflake, dbt, Dagster, SQL, Python, LLMs
Responsibilities
Model and transform raw EHR/claims data into canonical datasets; Build and manage scalable data pipelines; Conduct hands-on RWD analyses for epidemiology and treatment patterns; Design and execute observational studies; Implement data validation and observability frameworks; Apply Generative AI for data structuring and insight generation.
Seniority
Senior, hands-on IC
