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Director, R&D AI, Insights & Analytics

Acadia Pharmaceuticals Inc.·US·Princeton, New Jersey, United States; San Diego, California…·mid
ai
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About Acadia Pharmaceuticals Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference. Position Summary The Director, R&D AI, Insights & Analytics will lead the strategy and execution of data, analytics, artificial intelligence, and insights capabilities across the R&D organization. This highly visible leadership role will drive the transformation of how data is leveraged throughout the drug development lifecycle, enabling faster clinical trial execution, stronger data governance, more informed decision-making, and scalable AI-driven innovation. Partnering closely with R&D leadership, Enterprise AI, Enterprise IT, and external partners, this leader will shape the future of R&D data and analytics by defining roadmaps, advancing modern data platforms, and delivering measurable business value through data-driven solutions. Primary Responsibilities Define and execute the R&D insights, analytics, AI, and data capability roadmap aligned with R&D priorities and enterprise data and AI strategies Lead the R&D data governance framework, including data ownership, stewardship, ontology, metadata, lineage, business glossary, data quality standards, FAIR data principles, and enterprise-wide semantic consistency Establish consistent definitions, metrics, semantic standards, and data quality expectations across R&D to improve trust, reuse, and comparability of information Partner with Enterprise IT and data engi

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