Data Scientist
Core
Identify data sources, prepare datasets, and run analyses to interpret findings and support Risk-Based Monitoring (RBM) strategy adaptation for clinical studies.
Role type
Data Scientist (Clinical Research/Risk-Based Monitoring)
Builds
Cluepoints reports (KRI, DQA) and written reports summarizing data findings and signals
Domain
Healthcare intelligence and clinical research
Deliverable
dashboards & analysis
Required skills
SAS EG, Python (Anaconda3), Rave, KRI Specification translation, data preparation, variable selection
Preferred skills
CluePoints, KRI & DQA dashboards, Smart Engine
Responsibilities
Identify data sources and propose preparation approaches, set up and refresh Cluepoints reports, run additional analyses with B&P/TO teams, interpret findings for RBM central monitors, prepare written reports on data findings, support definition of actions to adapt RBM strategy, mentor new RBM Data Scientists
Seniority
Mid-level (3+ years experience)
