Real World Data Analyst II
Core
Analyze real-world data from healthcare sources to evaluate treatment outcomes, safety profiles, and healthcare utilization patterns for R&D functions.
Role type
Senior IC Real-World Data Analyst
Builds
Observational studies, comparative effectiveness research, and patient outcomes analysis
Domain
Biopharma / Healthcare / Real-World Data
Deliverable
production ML models
Required skills
Real-world data analysis, data cleaning and transformation, Python, R, SAS, Tableau, Power BI, regulatory compliance, study design
Preferred skills
AI use case implementation, automation, cost optimization
Technologies
Python, R, SAS, Domino, Tableau, Power BI
Responsibilities
Identify relevant real-world data from EHRs, claims databases, and registries; Clean, transform, and preprocess data to ensure quality; Apply analysis techniques to generate insights on research questions; Oversee and conduct observational studies and comparative effectiveness research; Interpret and communicate findings through reports and visualizations; Collaborate on RWD study design and protocol development; Mentor junior team members
Seniority
Mid-Senior, hands-on IC
