Associate Director R&D AI Solutions & Analytics
Acadia Pharmaceuticals
July 01, 2026
Remote friendly (Princeton, NJ)
United States
IT
Position Summary
The Associate Director, R&D AI Solutions & Analytics will lead the design, implementation, scaling, and adoption of AI-enabled analytics and digital innovation across Research & Development (R&D), improving decision-making, clinical development operations, and portfolio insights. Partners with R&D stakeholders, Digital/IT teams, and external vendors to deliver scalable analytics products, intelligent workflows, AI solutions, and operational insights.
Primary Responsibilities
- Drive build and adoption of R&D analytics/AI solutions via stakeholder engagement, user feedback, and performance measurement.
- Promote scalable, reusable approaches to analytics delivery and operational intelligence.
- Mentor junior team members and project contributors.
- Lead rapid prototyping, proof-of-concept development, and innovation aligned to R&D priorities.
- Collaborate with Digital/IT and external vendors for deployment and integration of enterprise AI/analytics.
- Scale AI-powered use cases (e.g., clinical operations copilots, enrollment analytics, workflow automation, decision-support).
- Identify, prioritize, and execute high-value analytics/AI use cases aligned to business objectives.
- Develop and operationalize dashboards, operational metrics, and intelligent analytics products.
- Lead insights scaling supporting Clinical Development, Clinical Operations, Portfolio Strategy, and broader R&D.
- Other responsibilities as assigned.
Education/Experience/Skills
- Bachelor’s degree in Data Science, Computer Science, Engineering, Life Sciences, Business Analytics, or related field.
- 8+ years’ experience in analytics, AI solutions, or digital innovation in pharma/biotech/healthcare.
- Hands-on experience building AI-driven data products, analytics solutions, and operational dashboards.
- Experience in regulated R&D environments (clinical development, safety, or regulatory).
- Knowledge of CDISC and FHIR.
- Experience partnering with Digital/IT and external vendors for enterprise analytics/AI implementation.
- Ability to manage multiple concurrent initiatives; deliver scalable solutions.
- Willingness to travel domestically and internationally.
The Associate Director, R&D AI Solutions & Analytics will lead the design, implementation, scaling, and adoption of AI-enabled analytics and digital innovation across Research & Development (R&D), improving decision-making, clinical development operations, and portfolio insights. Partners with R&D stakeholders, Digital/IT teams, and external vendors to deliver scalable analytics products, intelligent workflows, AI solutions, and operational insights.
Primary Responsibilities
- Drive build and adoption of R&D analytics/AI solutions via stakeholder engagement, user feedback, and performance measurement.
- Promote scalable, reusable approaches to analytics delivery and operational intelligence.
- Mentor junior team members and project contributors.
- Lead rapid prototyping, proof-of-concept development, and innovation aligned to R&D priorities.
- Collaborate with Digital/IT and external vendors for deployment and integration of enterprise AI/analytics.
- Scale AI-powered use cases (e.g., clinical operations copilots, enrollment analytics, workflow automation, decision-support).
- Identify, prioritize, and execute high-value analytics/AI use cases aligned to business objectives.
- Develop and operationalize dashboards, operational metrics, and intelligent analytics products.
- Lead insights scaling supporting Clinical Development, Clinical Operations, Portfolio Strategy, and broader R&D.
- Other responsibilities as assigned.
Education/Experience/Skills
- Bachelor’s degree in Data Science, Computer Science, Engineering, Life Sciences, Business Analytics, or related field.
- 8+ years’ experience in analytics, AI solutions, or digital innovation in pharma/biotech/healthcare.
- Hands-on experience building AI-driven data products, analytics solutions, and operational dashboards.
- Experience in regulated R&D environments (clinical development, safety, or regulatory).
- Knowledge of CDISC and FHIR.
- Experience partnering with Digital/IT and external vendors for enterprise analytics/AI implementation.
- Ability to manage multiple concurrent initiatives; deliver scalable solutions.
- Willingness to travel domestically and internationally.