Director, Data Science - AI Evidence Extraction

Johnson & Johnson • Titusville, NJ

4d

About The Position

Johnson & Johnson Innovative Medicine is recruiting a Director, Data Science – AI Evidence Extraction to join its Research and Development Data, Data Science, and AI (DDSAI) team. The position may be based at one of the company’s US sites in Raritan or Titusville, New Jersey; Cambridge, Massachusetts; or Spring House, Pennsylvania. Travel may be required as needed.

The Director will lead the design, development, and deployment of AI-enabled capabilities, including agentic workflows, for scientific evidence extraction, curation, and quantitative synthesis supporting Neuroscience clinical development. Working with clinical, statistical, regulatory, scientific, data, legal, and technology teams, the role translates priority evidence needs into scalable tools and reusable data assets that improve how scientific literature and other sources are identified, structured, evaluated, and analyzed.

This hands-on technical leadership role sets technical direction, guides multidisciplinary delivery, and builds and validates robust evidence workflows. It establishes fit-for-purpose data models, provenance and quality standards, evaluation and human-review practices, and scientifically rigorous analytical approaches, while ensuring alignment with enterprise platforms, responsible AI expectations, and data-use requirements. The Director communicates uncertainty and tradeoffs, drives adoption, and delivers measurable value for clinical development decisions.

The role will develop a curated, provenance-bearing evidence asset intended to make subsequent analyses faster, less costly, and more reliable. Success includes enabling Neuroscience analysts to begin meta-analyses by querying the evidence store, allowing reviewers to trace pooled values to cited sources, and creating a capability that other therapeutic areas may adopt.

Requirements

• PhD in a relevant quantitative, clinical, or life-science field, or an MS with additional relevant experience.
• At least 8 years of experience in pharmaceutical, biotech, or healthcare analytics, including experience setting technical direction.
• Hands-on experience with systematic reviews, meta-analysis, or quantitative evidence synthesis.
• Experience with data modeling, scientific data curation, provenance, and quality control.
• Recent experience building and deploying scalable AI, NLP, or generative AI solutions.
• Strong proficiency in Python and/or R and sound software engineering practices.
• Understanding of evaluation, validation, uncertainty, and human-in-the-loop review.
• Ability to assess scientific evidence and make well-reasoned technical tradeoffs.
• Demonstrated cross-functional leadership and influence without relying on managerial authority.
• Strong communication skills with technical, scientific, and senior non-technical stakeholders.
• Experience working within shared platforms, architecture standards, and governance frameworks.

Nice To Haves

• Exposure to regulated environments.
• Exposure to multimodal document extraction.
• Exposure to AI governance and responsible AI.

Responsibilities

• Set the strategy, roadmap, priorities, and measures of value for scientific evidence data capabilities, with a focus on Neuroscience.
• Build and deploy scalable AI-enabled workflows, including AI agents, for evidence identification, extraction, curation, and analysis.
• Own delivery, investment decisions, and outcomes for AI-based scientific evidence extraction.
• Work with data teams to establish fit-for-purpose data models and databases, provenance, quality controls, and reusable evidence assets.
• Define validation, evaluation, human-review, and responsible AI practices.
• Develop scientifically rigorous analysis workflows and quantify limitations such as uncertainty.
• Partner with clinical, statistical, regulatory, scientific, legal, and technology stakeholders.
• Shape shared platform capabilities and ensure alignment with architecture, governance, and data-use requirements.
• Guide multidisciplinary delivery, maintain strong engineering practices, and mentor cross-functional contributors.
• Communicate priorities, tradeoffs, risks, progress, and impact to senior stakeholders.

Benefits

• Annual performance bonus, subject to applicable plan terms and company discretion.
• Medical, dental, and vision insurance.
• Life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Potential eligibility for the company’s consolidated retirement plan (pension) and 401(k) savings plan.
• Vacation of up to 120 hours per calendar year.
• Sick time of up to 40 hours per calendar year.
• Holiday pay, including floating holidays, of up to 13 days per calendar year.
• Work, Personal and Family Time of up to 40 hours per calendar year.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree