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Director, R&D AI, Insights & Analytics

Acadia Pharmaceuticals

Job Location:

San Diego, CA - USA

Hourly Salary: USD 16 - 16

Posted: 20 August 2026 (18 days ago)

Application Deadline: 1 December 2026

Vacancies: 1 Vacancy

Job Summary

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 Parkinsons 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 Alzheimers disease psychosis and Lewy body dementia psychosis along with earlier-stage programs that address other underserved patient needs. At Acadia were 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 engineering teams to define business requirements and support the design and implementation of modern R&D data platforms including data lake lakehouse and cloud-based solutions
Provide R&D leadership and subject matter expertise for architecture platform technology and vendor evaluations ensuring scalability security interoperability and business alignment
Build and operationalize clinical development benchmarking capabilities including study start-up patient enrollment site performance cycle times data quality and other key development metrics
Develop dashboards predictive analytics and decision-support capabilities that improve patient enrollment site selection trial execution portfolio oversight and clinical development performance
Identify prioritize and implement opportunities to accelerate clinical trials and R&D processes through AI machine learning predictive analytics intelligent automation and AI-enabled solutions
Partner with Enterprise AI and Enterprise IT teams to translate R&D use cases into scalable products define business requirements and success metrics and support deployment adoption and value realization
Lead current-state assessments process mapping capability mapping gap analyses and future-state roadmap development to support R&D transformation and operating model improvements
Collaborate across Clinical Development Clinical Operations Research Translational Medicine Data Management Biostatistics Regulatory Affairs Safety and other R&D functions to identify high-value data and analytics opportunities
Manage external partners contractors and vendors to deliver analytics governance benchmarking and transformation initiatives within approved budgets
Present strategies recommendations progress risks and business outcomes to senior leadership governance forums and key stakeholders
Monitor emerging data analytics AI and life sciences technologies and drive innovation and experimentation initiatives that create measurable value across R&D
Other duties as assigned

Education/Experience/Skills

Bachelors degree in Data Science Computer Science Engineering Life Sciences or a related field required; advanced degree preferred
10 years of progressively responsible experience in R&D analytics data strategy clinical development analytics AI-enabled solutions digital transformation or related disciplines
Experience within the pharmaceutical biotechnology or life sciences industry
Strong knowledge of the drug development lifecycle and R&D functions including Clinical Development Clinical Operations Research Translational Medicine Data Management Biostatistics Regulatory Affairs and Safety
Experience establishing and leading data governance programs including data ownership stewardship ontology metadata lineage business glossary data quality standards and FAIR data practices
Experience defining or supporting data lake lakehouse data fabric or cloud data strategies and partnering with architecture and engineering teams on platform selection and implementation
Working knowledge of Databricks Snowflake Microsoft Fabric AWS Azure semantic layer technologies and enterprise metadata or catalog tools
Experience developing clinical performance metrics external benchmarking programs operational dashboards and analytics supporting patient enrollment site performance trial acceleration and portfolio decision-making
Experience applying AI/ML predictive analytics intelligent automation or AI-enabled products to solve R&D business challenges
Experience conducting process mapping capability assessments gap analyses and future-state roadmap development
Ability to translate business requirements into scalable data analytics platform and technology solutions
Experience managing cross-functional initiatives vendors external partners and project resourcesFamiliarity with regulated R&D environments and clinical data standards including GxP CDISC SDTM ADaM and FHIR
Ability and willingness to travel domestically and internationally as needed

Physical Requirements

This role involves regular standing walking sitting and the use of hands for handling or operating equipment. The employee may also need to reach climb balance stoop kneel crouch and maintain visual verbal and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

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Required Experience:

Director

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