RWD Scientist
Core
Design and execute observational studies to generate insights from real-world data for clinical development, regulatory strategy, and healthcare decision-making.
Role type
Real-World Data Scientist (Observational Studies & Strategy)
Builds
Evidence generation for drug development and regulatory readiness
Domain
Healthcare / Pharma / Real-World Data
Deliverable
production ML models | dashboards & analysis
Required skills
Observational study methodology, Real-world data analysis, Statistical software (R, SAS, Python), Feasibility assessment, Data strategy, Regulatory compliance
Preferred skills
Pharmacoepidemiology, Health Economics (HEOR), Agile project management, Therapeutic area expertise (cardiovascular, renal, metabolic)
Technologies
R, SAS, Python
Responsibilities
Design studies to address clinical, operational, regulatory, or payer questions; Identify relevant real-world data sources and perform feasibility assessments; Interpret results of observational studies; Build expertise in novel data types and advanced analytics; Ensure compliance and quality within established guidelines; Support knowledge sharing in RWD methodology.
Seniority
Mid-level, hands-on IC
