Lead Real World Data Scientist
Core
Conduct and audit real-world evidence (RWE) analyses using real-world data sources to generate reliable results for biopharma research.
Role type
Senior Real World Data Scientist (RWE)
Builds
Studies, recurring reports, dashboards, and presentations on real-world evidence.
Domain
Biopharma / Healthcare / Real-World Evidence
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced statistical methods (time-to-event, cross-sectional, longitudinal), Epidemiology, Data cleaning and validation, SQL, R, Snowflake, Healthcare coding systems (ICD, CPT, HCPCS, LOINC, MedDRA), Big data platforms
Preferred skills
Python, Power BI
Responsibilities
Conduct and audit real-world evidence analyses using real-world data sources, Collaborate with team members to deliver studies and recurring reports on schedule, Apply advanced statistical and epidemiological methods to produce reliable results, Clean and validate data and outputs to ensure consistency and dependability, Maintain clear documentation of analytical code and operational definitions, Create reports, presentations, and dashboards to communicate complex data findings
Seniority
Senior, hands-on IC
