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About the Role

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 role drives 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.

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.

Requirements

Bachelor’s 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 resources.
Familiarity 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.

Skills

Data Science
Computer Science
Engineering
Life Sciences
R&D analytics
Data strategy
Clinical development analytics
AI-enabled solutions
Digital transformation
Drug development lifecycle
Data governance
Data ownership
Data stewardship
Ontology
Metadata
Lineage
Business glossary
Data quality standards
FAIR data practices
Data lake
Lakehouse
Data fabric
Cloud data strategies
Databricks
Snowflake
Microsoft Fabric
AWS
Azure
Semantic layer technologies
Enterprise metadata tools
Enterprise catalog tools
Clinical performance metrics
External benchmarking
Operational dashboards
Patient enrollment analytics
Site performance analytics
Trial acceleration analytics
Portfolio decision-making analytics
AI/ML
Predictive analytics
Intelligent automation
AI-enabled products
Process mapping
Capability assessments
Gap analyses
Future-state roadmap development
Scalable data solutions
Scalable analytics solutions
Scalable platform solutions
Scalable technology solutions
Cross-functional initiatives management
Vendor management
External partner management
Project resource management
Regulated R&D environments
Clinical data standards
GxP
CDISC
SDTM
ADaM
FHIR

Location

US-based

Work Type

Hybrid

Experience Level

10+ years of experience
Director

Education Level

Bachelor's degree in Data Science, Computer Science, Engineering, Life Sciences, or a related field
Advanced degree preferred

Salary/Compensations

$192,000—$240,100 USD

Benefits

Competitive base, bonus, new hire and ongoing equity packages
Medical, dental, and vision insurance
Employer-paid life, disability, business travel and EAP coverage
401(k) Plan with a fully vested company match 1:1 up to 5%
Employee Stock Purchase Plan with a 2-year purchase price lock-in
15+ vacation days
13 -15 paid holidays, including office closure between December 24th and January 1st
10 days of paid sick time
Paid parental leave benefit
Tuition assistance

About the Company

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.

Equal Opportunity

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn’t exactly what we describe here.
It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law.
As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia’s career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923.
Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment.