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 developing AI-enabled workflows for scientific evidence extraction and analysis, with a strong foundation in data modeling, quality control, and cross-functional leadership in regulated environments. Proficient in Python and R, with a focus on systematic reviews and quantitative evidence synthesis.

Highest-signal resume keywords

PhD In Relevant Field8+ Years In Pharmaceutical AnalyticsExperience With AI And NLP SolutionsStrong Proficiency In Python And RCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingScientific Data CurationQuality ControlSystematic ReviewsMeta-AnalysisQuantitative Evidence SynthesisAI-Enabled WorkflowsEvaluation And ValidationUncertainty AssessmentHuman-In-The-Loop Review

Soft Skills

Strong Communication SkillsInfluence Without AuthorityMentoring Cross-Functional Contributors

Tools & Technologies

AI SolutionsNLP SolutionsGenerative AI SolutionsShared PlatformsGovernance Frameworks

Industry Keywords

PharmaceuticalBiotechHealthcare 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 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
Pension plan
401(k) savings plan
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