Associate Director R&D AI Solutions & Analytics
Acadia Pharmaceuticals
August 13, 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 analytics and AI-driven solutions across Research & Development to improve decision-making, optimize clinical development operations, and enhance portfolio insights.
Primary Responsibilities
- Drive build and adoption of R&D analytics and AI solutions through stakeholder engagement, user feedback, and performance measurement.
- Promote scalable, reusable approaches to R&D analytics delivery, AI enablement, and operational intelligence.
- Provide mentorship and technical guidance to junior team members and contributors.
- Lead rapid prototyping, proof-of-concept development, and innovation initiatives aligned with enterprise R&D priorities.
- Collaborate with Digital/IT and external vendors to deploy and integrate enterprise AI/analytics solutions.
- Support implementation and scaling of AI use cases (e.g., clinical operations copilots, enrollment analytics, workflow automation, decision-support tools).
- Partner with R&D stakeholders to identify, prioritize, and execute high-value analytics and AI use cases.
- Develop and operationalize scalable dashboards, operational metrics, and intelligent analytics products.
- Lead design and scaling of insights for Clinical Development, Clinical Operations, Portfolio Strategy, and other R&D functions.
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 (pharma/biotech/healthcare).
- Hands-on experience developing AI-driven data products, analytics solutions, and operational dashboards.
- Experience in regulated R&D environments (clinical development, safety, or regulatory).
- Knowledge of data standards such as CDISC and FHIR.
- Experience partnering with Digital/IT and external vendors to implement enterprise analytics/AI.
- Ability to manage multiple concurrent initiatives.
- Willingness to travel domestically and internationally.
The Associate Director, R&D AI Solutions & Analytics will lead the design, implementation, scaling, and adoption of analytics and AI-driven solutions across Research & Development to improve decision-making, optimize clinical development operations, and enhance portfolio insights.
Primary Responsibilities
- Drive build and adoption of R&D analytics and AI solutions through stakeholder engagement, user feedback, and performance measurement.
- Promote scalable, reusable approaches to R&D analytics delivery, AI enablement, and operational intelligence.
- Provide mentorship and technical guidance to junior team members and contributors.
- Lead rapid prototyping, proof-of-concept development, and innovation initiatives aligned with enterprise R&D priorities.
- Collaborate with Digital/IT and external vendors to deploy and integrate enterprise AI/analytics solutions.
- Support implementation and scaling of AI use cases (e.g., clinical operations copilots, enrollment analytics, workflow automation, decision-support tools).
- Partner with R&D stakeholders to identify, prioritize, and execute high-value analytics and AI use cases.
- Develop and operationalize scalable dashboards, operational metrics, and intelligent analytics products.
- Lead design and scaling of insights for Clinical Development, Clinical Operations, Portfolio Strategy, and other R&D functions.
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 (pharma/biotech/healthcare).
- Hands-on experience developing AI-driven data products, analytics solutions, and operational dashboards.
- Experience in regulated R&D environments (clinical development, safety, or regulatory).
- Knowledge of data standards such as CDISC and FHIR.
- Experience partnering with Digital/IT and external vendors to implement enterprise analytics/AI.
- Ability to manage multiple concurrent initiatives.
- Willingness to travel domestically and internationally.