Director, AI-Powered Evidence Synthesis

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

Benefits offered by this job

Vacation – up to 120 hours/year

Sick time – up to 40 hours/year

Holiday pay – up to 13 days/year

401(k) plan

Comprehensive benefits

Job summary

Johnson & Johnson is recruiting for a Director, Data Science - AI Evidence Extraction to join our DDSAI team. The role leads AI-enabled evidence extraction for clinical development, located at one of several US sites (Raritan, Titusville, Cambridge, Spring House).

You will build scalable workflows, curate evidence, and drive measurable value for Neuroscience programs. The position requires a PhD or MS with relevant experience, 8+ years in healthcare analytics, and strong Python/R skills.

Qualifications

• PhD in a quantitative, clinical, or life-science field; or MS with relevant experience.
• 8+ years in pharma/biotech/healthcare analytics with technical direction.
• Hands-on experience with systematic reviews, meta-analysis, or quantitative evidence synthesis.
• Experience with data modeling, 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 managerial authority.
• Strong communication skills with technical, scientific, and senior stakeholders.
• Experience with 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

Cross-functional leadership

Strong communication

Python

R

Technical tradeoffs

AI/NLP solutions

Evaluation & validation

Leadership influence

Stakeholder communication

Regulated environments

Education

PhD or MS in quantitative/clinical/life-science

Tools

Python

R

Job description

Johnson & Johnson is recruiting for a Director, Data Science - AI Evidence Extraction to join our DDSAI team. The role leads AI-enabled evidence extraction for clinical development, located at one of several US sites (Raritan, Titusville, Cambridge, Spring House).

You will build scalable workflows, curate evidence, and drive measurable value for Neuroscience programs. The position requires a PhD or MS with relevant experience, 8+ years in healthcare analytics, and strong Python/R skills.