Senior Data Scientist - Real World Data
Core
Transform Real World Data (EHR, claims) into structured analytics assets and conduct observational studies to support drug development decisions.
Role type
Senior Data Scientist (Real World Evidence & Data Engineering)
Builds
Production-grade data pipelines, structured patient cohorts, and reproducible analytical frameworks for scientific research.
Domain
Life Sciences / Healthcare Data / Real World Evidence
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, Snowflake, dbt, Dagster, OMOP, UMLS, LOINC, ICD9/10, MeSH, causal inference, longitudinal cohort construction, Generative AI (LLMs)
Preferred skills
Experience with commercial RWD vendors (Truveta, Optum, IQVIA), regulated data environments (PHI governance), commercial RWD study design
Technologies
Snowflake, dbt, Dagster, SQL, Python, LLMs
Responsibilities
Model and transform raw EHR and claims data into clean, canonical datasets; Build and manage scalable data pipelines using Dagster and dbt; Conduct hands-on RWD analyses for disease epidemiology and treatment patterns; Partner with clinical leads to design and execute observational studies; Implement data validation and observability frameworks; Apply Generative AI techniques for data structuring and insight generation.
Seniority
Senior, hands-on IC
