Director, AI Evidence Extraction & Data Science

Johnson & Johnson Co.; Cambridge (MA); On-site; USD 164,000 - 283,000; Full time

Job summary

Johnson & Johnson Innovative Medicine is seeking a Director of Data Science – AI Evidence Extraction to lead AI-enabled evidence extraction and synthesis for Neuroscience R&D. You will design scalable workflows, partner with cross-functional teams, and ensure data provenance, quality, and governance.

This role sits at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA) and offers a competitive base salary, bonus eligibility, and comprehensive benefits.

Qualifications

• PhD in a relevant quantitative, clinical, or life-science field; or MS with additional relevant experience.
• 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with 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.
• Exposure to regulated environments, multimodal document extraction, AI governance, and responsible AI is preferred.

Responsibilities

• Set the strategy, roadmap, priorities, and measures of value for scientific evidence data capabilities, focused on Neuroscience.
• Build and deploy scalable AI-enabled workflows (e.g., AI agents) for evidence identification, extraction, curation, and analysis.
• Own delivery, investment decisions, and outcomes for AI-based scientific evidence extraction.
• Work with the 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 (e.g., 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.

Skills

Python

R

AI/ML

NLP

Data modeling

Provenance

Quality controls

Cross-functional leadership

Evidence extraction

Education

PhD in a relevant quantitative, clinical, or life‑science field; or MS with additional relevant experience.

Job description

Johnson & Johnson Innovative Medicine is seeking a Director of Data Science – AI Evidence Extraction to lead AI-enabled evidence extraction and synthesis for Neuroscience R&D. You will design scalable workflows, partner with cross-functional teams, and ensure data provenance, quality, and governance.

This role sits at one of our US sites (Raritan, NJ; Titusville, NJ; Cambridge, MA; Spring House, PA) and offers a competitive base salary, bonus eligibility, and comprehensive benefits.