Associate Director R&D AI Solutions & Analytics

About this role

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.

Please note that this position can be based in San Diego, CA, San Francisco, CA, or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Associate Director, R&D AI Solutions & Analytics will serve as a strategic and technical leader responsible for advancing AI-enabled analytics and digital innovation capabilities across Research & Development (R&D). This role will focus on leading the design, implementation, scaling, and adoption of analytics and AI-driven solutions that improve decision-making, optimize clinical development operations, and enhance portfolio insights across the organization. The individual will partner closely with R&D stakeholders, Digital/IT teams, and external vendors to deliver scalable analytics products, intelligent workflows, AI-enabled solutions, and operational insights capabilities. This role requires a highly collaborative and execution-oriented leader who thrives in fast-paced innovative environments and can balance strategic thinking with hands-on solution delivery.

Primary Responsibilities

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Drive build and adoption of R&D analytics and AI solutions through stakeholder engagement, user feedback, and performance measurement.

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Support development of a high-performing innovative culture focused on experimentation, agility, collaboration, and measurable impact.

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Promote scalable and reusable approaches to R&D analytics delivery, AI enablement, and operational intelligence.

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Provide mentorship and technical guidance to junior team members, contractors, and project contributors as appropriate.

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Lead rapid prototyping, proof-of-concept development, and innovation initiatives aligned with enterprise R&D priorities.

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Collaborate with Digital/IT organizations and external vendors to support deployment and integration of enterprise AI and analytics solutions.

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Support implementation and scaling of AI-powered use cases including clinical operations copilots, enrollment analytics, workflow automation, and decision-support tools.

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Partner with R&D stakeholders to identify, prioritize, and execute high-value analytics and AI use cases aligned with business objectives.

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Drive development and operationalization of scalable dashboards, operational metrics, and intelligent analytics products to improve clinical and operational performance.

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Lead the design and scaling of insights through analytics and AI-enabled solutions supporting Clinical Development, Clinical Operations, Portfolio Strategy, and broader R&D functions.