Jobs at MSD Animal Health Technology Labs

Owns the vision, roadmap, design, delivery, governance, and adoption of enterprise data products across Digital Human Health. Partners with business, analytics, engineering, architecture, and technology teams to create scalable, reusable, governed, and AI-ready data assets. Defines requirements, data models, metadata standards, quality controls, success metrics, and adoption strategies supporting content, campaigns, customer engagement, analytics, and GenAI use cases.

Leads data science teams supporting commercial healthcare analytics, translating business needs into analytical problems and production-grade ML and GenAI solutions. Responsibilities include defining technical requirements, developing models, applying GenAI, managing end-to-end projects, collaborating with stakeholders, presenting insights to executives, mentoring data scientists, and building expertise in oncology analytics, patient-level data, HCP analytics, and segmentation.

Leads strategic forecasting and market research for international human-health markets. Oversees capability strategy, governance, team development, forecasts, valuations, scenario models, market research plans, and decision support for commercial, portfolio, launch, pipeline, business development, and investment decisions. Partners with marketing, finance, market access, analytics, and regional teams while embedding automation, GenAI, advanced analytics, and responsible AI practices.

Develop and deliver pharmaceutical forecasts and analytical solutions using statistical and ML techniques. Collaborate cross-functionally to build assumptions, automate and improve forecasting processes, communicate findings to stakeholders, and maintain documentation and forecasting tools.

Lead quality oversight for analytical standards, change control, compendial compliance and laboratory support across manufacturing, suppliers and R&D. Supervise staff, manage analytical standard lifecycle (creation, change, implementation), assess ACRs, ensure GMP compliance, provide technical leadership, drive continuous improvement, and coordinate cross-functional stakeholder alignment for product and regulatory activities.

Perform incoming material receipt, documentation review, and release under cGMP/GxP requirements. Maintain quality records and data integrity using Veeva, SAP, GLIMS, LIMS, and electronic QMS platforms. Support investigations, CAPA, audits, inspection readiness, PQRs, supplier collaboration, and process improvements. Apply automation and AI tools to improve quality operations while mentoring junior colleagues and coordinating with global stakeholders.

Leads Oncology commercial analytics and brand strategy insights across inline and pipeline assets. Translates business priorities into analytical plans, oversees patient journey and real-world data modeling, supports precision medicine and biomarker initiatives, and applies statistical, machine learning, and AI methods. Manages 15+ team members and cross-functional insights pods while partnering with global, regional, marketing, clinical, medical affairs, and business development stakeholders. Drives scalable analytics, GenAI experimentation, prioritization, value tracking, and executive decision-making.