Associate Director, Real World Evidence Data Scientist, Gaithersburg, MD
Core
Real-world data (RWD) analysis and AI-driven analytics to support global medical evidence generation for oncology.
Role type
Senior IC Real World Evidence Data Scientist
Builds
Production-grade analytics pipelines, reusable code libraries, and reproducible data science workflows for pharmaceutical research.
Domain
Pharmaceutical Research & Development / Oncology / Real World Evidence
Deliverable
production ML models | dashboards & analysis
Required skills
R, Python, SQL, causal inference, observational study design, GenAI/LLM integration, version control (GitHub), agile methodologies
Preferred skills
Clinical data standards (ICD-10, NDC), Shiny/Dash, regulatory submission experience, peer-reviewed publications
Technologies
R, Python, SQL, GitHub, JIRA, GenAI tools, LLMs
Responsibilities
Conduct RWD feasibility assessments and execute protocol-driven insight projects; Translate business questions into analytic specifications; Maintain knowledge of oncology data sources (claims, EHR, registries); Integrate GenAI tools into daily workflows to accelerate code development and insight generation.
Seniority
Senior, hands-on IC