Senior Data Scientist - Global Veterinary Pharmacovigilance, Signal Management

Job Description

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

• Senior-level experience delivering analytics in a quality-controlled environment (health, life sciences, regulated industry, or comparable).
• 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).

Nice to have

• Experience supporting enterprise system upgrades/migrations and analytics comparability/validation work.
• Familiarity with pharmacovigilance concepts and signal management workflows.

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.