Head of Methods & AI Integration

Role: Senior leadership position as Head of Methods & AI Integration within R&D Data and Quantitative Sciences (DQS), focusing on translating AI/ML and data science innovations into standardized, regulator-ready capabilities across all therapeutic areas. Responsibilities: define and scale advanced methodologies into decision-making tools; oversee end-to-end lifecycle from innovation to enterprise deployment; embed advanced methods into clinical decision processes; establish standards for model validation, governance, and lifecycle management; lead a multidisciplinary team; and engage with regulators, academia, and consortia to promote AI standards. Requirements: PhD in Statistics, Data Science, or related field with ~15+ years (PhD) or MS with ~18+ years of relevant experience in pharma/biotech, proven leadership in quantitative sciences, extensive expertise in AI/ML, and experience in regulated environments. Preferred: experience driving enterprise-scale transformation, establishing global AI standards, and a strategic vision for data/science methodologies. High-Value: focus on scalable, GxP-compliant AI/ML methods, decision science, enterprise deployment, regulatory engagement, and cross-functional leadership in R&D. WorkSetup: Boston, MA, full-time, remote option likely, with strategic influence across global R&D operations.