Safety Scientist- Real World Evidence (RWE), EMEA
Core
Planning, coordinating, and delivering signal detection and product safety activities using real-world data to ensure operational excellence in patient safety.
Role type
Senior Safety Scientist (Real World Evidence)
Builds
Safety evidence information platforms, dashboards, and structured workflows for data analysis.
Domain
Pharmaceutical/Biotech industry, Real World Evidence (RWE), Pharmacoepidemiology
Deliverable
production ML models | dashboards & analysis
Required skills
Data analysis of complex safety data linkages, Data extraction from safety databases (e.g., Argus), Statistical programming (R, SAS, Python), Data visualization (Tableau, Power BI), GCP and GVP regulatory experience
Preferred skills
Experience with large healthcare datasets (EHR, claims, registry), AI/machine learning tools (GenAI, Copilot), Rare disease experience
Technologies
Argus Safety, Tableau, Power BI, Empirica, R, SAS, Python, GenAI, Copilot
Responsibilities
Support strategies for safety data generation, assessment, and communications; Synthesize contributions from multiple data sources into meaningful insights; Monitor competitive environment for new safety information; Establish and oversee updates to safety evidence information platforms/dashboards; Conduct data mining activities to identify data gaps; Ensure reproducibility and traceability of analyses through structured workflows; Assist in the design, execution, and reporting of pharmacoepidemiologic studies.
Seniority
Senior, hands-on IC with mentoring responsibilities
