Zoetis is seeking a Senior Data Scientist to support global pharmacovigilance signal management supporting the team to translate complex safety information into clear, decision-ready insights for PV leadership and key stakeholders. This role will help strengthen routine safety monitoring, improve the consistency and usability of PV insights, and enable timely, high-quality communications aligned with business needs.
The role will also partner with internal digital/automation teams to expand analytics capabilities and improve how Zoetis synthesizes animal health data to better understand product performance in real-world use.
Duties and Responsibilities include but not limited to:
Advance signal detection and early alerting by leveraging new technologies to reduce false positives and strengthen trust in results through reproducible analysis approaches and controls. Standardize signal review outputs (evidence summaries, trend context, case-series characterizations) and ensure consistent governance across diverse data sources. Maintain end-to-end signal tracking and lifecycle documentation so conclusions, decisions, and actions remain transparent and traceable. Continuously improve PV data quality (completeness, consistency, de-duplication, coding, timeliness) and deliver “easy-to-digest” views (dashboards, scorecards, automated reports) to increase transparency into safety trends and data reliability. Enable leadership-ready insight delivery through a regular cadence of updates and ad hoc escalations, with summaries focused on what changed, why it matters, and what’s next; contribute to structured quarterly reviews for key products. Partner with PV leadership and digital/automation teams to evolve PV technology and signal management capabilities—translating needs into clear requirements and acceptance criteria, supporting testing and adoption (training, feedback loops), and ensuring continuity with minimal disruption.
Education (Recommended)
MS, PhD in life sciences/DVM with 7+ years with applied data analytics and handling and interpretation of multimodal data
MS or PhD in Data Science, Biostatistics, Epidemiology, Computer Science, or a related quantitative field with experience or training in veterinary/animal health, safety surveillance, or regulated life sciences.
Required / strongly preferred
Nice to have
Full time
The world’s leading animal health company. We’ve been innovating ways to predict, prevent, detect, and treat animal illness for over 70 years, and we continue to stand by those raising and caring for animals worldwide – from veterinarians and pet owners to livestock farmers. Our leading portfolio and pipeline of medicines, vaccines, diagnostics and technologies make a difference in over 100 countries.
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