Senior Data Scientist - Safety Analytics & Signal Detection
Core
Applies advanced statistics, data science, and machine learning to support pharmacovigilance, safety signal detection, post-marketing surveillance, and safety decision-making using internal safety data, spontaneous reporting systems, and real-world data.
Role type
Senior IC data scientist (pharmacovigilance & safety analytics)
Builds
Safety signal detection workflows, analytical dashboards, and reproducible statistical models for patient safety surveillance
Domain
Healthcare + Pharmacovigilance + Statistical Signal Detection
Deliverable
production ML models | dashboards & analysis
Required skills
Frequentist and Bayesian statistical methods, temporal and trending analysis, observational data methods, machine learning, NLP, AI-enabled approaches, Python/R/SQL/SAS programming, automation, data visualization
Preferred skills
Pharmacovigilance principles, safety signal detection methodologies, real-world data analysis, adverse event data analysis, healthcare data sources (EHR, claims)
Technologies
Python, R, SQL, SAS, NLP, AI frameworks
Responsibilities
Design and execute complex analyses for safety questions and post-marketing surveillance; Develop reproducible analytical workflows using programming and automation; Evaluate methodological assumptions and limitations; Communicate scientifically defensible findings to technical and non-technical stakeholders
Seniority
Senior, hands-on IC