Director, AI-Driven Neuroscience Evidence Extraction

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

Benefits offered by this job

Medical benefits

401(k) plan

Career development

Job summary

Johnson & Johnson is seeking a Director, Data Science – AI Evidence Extraction to lead AI-enabled evidence discovery and synthesis for Neuroscience R&D. You will design and deploy scalable workflows, curate data assets, and partner across clinical, regulatory, and data teams to drive decision making.

You will establish data models, provenance, validation practices, and responsible AI standards while aligning with enterprise platforms.

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

AI leadership

NLP

Python

R

Scientific data modeling

Cross-functional collaboration

Data governance

Communication

Education

PhD in quantitative/clinical/life-science

MS with relevant experience

Tools

Python tooling

Data modeling tools

NLP frameworks

Job description

Johnson & Johnson is seeking a Director, Data Science – AI Evidence Extraction to lead AI-enabled evidence discovery and synthesis for Neuroscience R&D. You will design and deploy scalable workflows, curate data assets, and partner across clinical, regulatory, and data teams to drive decision making.

You will establish data models, provenance, validation practices, and responsible AI standards while aligning with enterprise platforms.