Director, Data Science - GenAI - Neuroscience

Johnson & Johnson Innovative Medicine•San Diego, CA

6d•$164,000 - $282,900•Onsite

About The Position

Johnson & Johnson Innovative Medicine is seeking a Director, Data Science to join its Research and Development Data, Data Science, and AI (DDSAI) team. The role is based at one of the company’s US sites in Raritan, New Jersey; Titusville, New Jersey; Cambridge, Massachusetts; Spring House, Pennsylvania; or San Diego, California. Travel may be required as needed. The Director will lead the design, development, and deployment of AI, generative AI, and agentic AI workflow solutions for Neuroscience R&D, spanning clinical, omics and other molecular, and medical imaging data. Working with scientists and data teams, the Director will translate research priorities into scalable tools and capabilities, such as AI co-scientists, that improve how scientific information is discovered, integrated, and used. This hands-on leadership role sets technical direction, guides multidisciplinary delivery, establishes evaluation and responsible AI practices, and builds reusable solutions within enterprise platforms in partnership with DDSAI and the Neuroscience therapeutic area. The role is accountable for platform development and evolution, scientific rigor and evaluation, user adoption, and measurable value from the Neuroscience AI portfolio. The Director will shape the Neuroscience AI strategy and roadmap, build and deploy solutions for priority scientific needs, and make evidence-based investment and delivery decisions. Success includes scientific accuracy and adoption by neuroscientists, along with a strategic AI plan supported by evidence and leadership investment.

Requirements

PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative field; or an MS with additional relevant experience.
8+ years of experience in pharmaceutical, biotech, or healthcare analytics, including experience setting technical direction.
Hands-on experience within the last 18 months building agentic systems and deploying AI, NLP, or generative AI solutions using LLMs, retrieval, grounding, and evaluation.
Ability to critically assess scientific evidence.
Strong Python skills and sound software engineering practices.
Experience leading multidisciplinary technical delivery and influencing across organizational boundaries.
Ability to define priorities, make evidence-based tradeoffs, and deliver measurable value.
Strong communication skills with technical, scientific, and senior non-technical stakeholders.
Experience developing within shared platforms, architecture standards, and governance frameworks.

Nice To Haves

Expertise in neuroscience.
Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems.
Exposure to regulated environments, AI governance, and human-in-the-loop systems.
Industry experience in drug discovery, clinical development, or neuroscience.

Responsibilities

Set the Neuroscience AI strategy, portfolio, roadmap, and measures of value.
Build and deploy scalable agentic AI and generative AI solutions for priority scientific needs.
Own delivery, investment decisions, and outcomes for the Neuroscience AI portfolio.
Ensure scientific rigor, appropriate evidence use, and reliable domain representation.
Establish evaluation standards, expert validation, and responsible AI practices.
Shape shared platform capabilities and develop reusable solutions aligned with enterprise architecture.
Guide multidisciplinary teams and maintain strong engineering and lifecycle practices.
Partner with scientists and leaders to prioritize needs, validate solutions, and drive adoption.
Communicate technical choices, risks, progress, and impact to senior stakeholders.