Associate Group Director, Quantitative Safety Sciences
Core
Lead a multidisciplinary team in Quantitative Safety Sciences to establish data-driven analysis strategies, model-based insights, and literature evidence for characterizing molecule risk profiles and supporting regulatory deliverables.
Role type
Senior IC/Lead Quantitative Safety Scientist (Data Science, Pharmacoepidemiology, PV)
Builds
Production ML models | dashboards & analysis
Domain
Pharma / Drug Safety / Quantitative Safety Sciences
Deliverable
production ML models
Required skills
Data Science, Pharmacoepidemiology, Pharmacovigilance, Real World Data analysis, Clinical Trial data analysis, Relational databases, Statistical modeling, Strategic analytical thinking, Cross-functional collaboration, Team leadership, Project management
Preferred skills
AI/ML, Literature evidence synthesis, Process improvement, Influencing without authority
Technologies
FAERS, Real-World Data, Clinical Trial data, Literature databases
Responsibilities
Lead a global team of Quantitative Safety Scientists; oversee delivery of quantitative safety science using advanced data science and pharmacoepidemiology methodologies; establish internal and external networks to anticipate opportunities and define SAR/PVSD priorities; manage resource allocation and staff development; drive cross-functional initiatives with Clinical Safety, PSI, and PD Data Science groups.
Seniority
Senior, hands-on IC with leadership responsibilities
