About this role

Advance signal detection and early alerting by leveraging new technologies to reduce false positives
Standardize signal review outputs and ensure consistent governance across diverse data sources
Maintain end-to-end signal tracking and lifecycle documentation
Continuously improve PV data quality and deliver dashboards, scorecards, automated reports
Enable leadership-ready insight delivery through regular updates and ad hoc escalations
Partner with PV leadership and digital/automation teams to evolve PV technology and capabilities

MS, PhD in life sciences/DVM with 7+ years with applied data analytics
MS or PhD in Data Science, Biostatistics, Epidemiology, Computer Science, or a related quantitative field
experience or training in veterinary/animal health, safety surveillance, or regulated life sciences
Senior-level experience delivering analytics in a quality-controlled environment
demonstrated success producing leadership-facing analytics deliverables (dashboards, recurring review materials, executive summaries)
strong technical skills in Python and/or R, SQL, reproducible workflows (e.g., Git), and data visualization tools (e.g., Power BI/Tableau)

Senior Data Scientist – Global Veterinary Pharmacovigilance, Signal Management

Key skills