Director, Data Science – AI Evidence Extraction

Johnson & Johnson

. Set the strategy, roadmap, priorities, and measures of value for scientific evidence data capabilities focused on Neuroscience.

Posted 10/21/2026full-timeUnited StatesLead💰 $164,000 - $282,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and deploying AI-enabled workflows for scientific evidence extraction, with strong capabilities in data modeling, quality control, and cross-functional leadership. Proficient in Python and R, with a solid understanding of evaluation and validation practices in regulated environments.

Highest-signal resume keywords

PhD In Relevant Field8+ Years Experience In Pharmaceutical AnalyticsHands-On Experience With Systematic ReviewsStrong Proficiency In Python And RExperience With AI And NLP Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingScientific Data CurationQuality ControlAI-Enabled WorkflowsEvidence ExtractionMeta-AnalysisQuantitative Evidence SynthesisEvaluation PracticesValidation PracticesUncertainty Assessment

Soft Skills

Strong Communication SkillsCross-Functional LeadershipInfluence Without AuthorityMentoringStakeholder Engagement

Tools & Technologies

AI SolutionsNLP SolutionsGenerative AI SolutionsShared PlatformsGovernance Frameworks

Industry Keywords

NeurosciencePharmaceuticalBiotechHealthcare AnalyticsRegulated EnvironmentsAI GovernanceResponsible AI

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Set the strategy, roadmap, priorities, and measures of value for scientific evidence data capabilities focused 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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Annual performance bonus eligibility
Medical insurance
Dental insurance
Vision insurance
Life insurance
Short- and long-term disability insurance
Business accident insurance
Group legal insurance
Company consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Hybrid Work