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Johnson & Johnson
Johnson & Johnson
H1B Visa SponsorHealthcareHealthcare InsurancePharmaceuticals
Johnson & Johnson is a global healthcare company working across innovative medicine and medical technology. Its teams develop solutions in oncology, immunology, neuroscience, specialty ophthalmology, interventional care, and orthopaedics, combining science and technology to address complex health needs. The company also emphasizes health equity, environmental sustainability, diversity, and inclusion as it serves providers, patients, and communities worldwide.
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Director of Data Science, AI Evidence Extraction

Lead Johnson & Johnson’s use of AI to extract and synthesize evidence for Neuroscience clinical development. Build traceable workflows, reusable data assets, and responsible AI capabilities.

USUnited StatesMAMassachusettsNJNew JerseyPAPennsylvania
$164,000 – $282,900 / year
HybridFull-timeLeadEnglish RequiredData Scientist
Python

Description

  • Set the strategy and roadmap for Neuroscience scientific evidence data capabilities, including priorities and measures of value.
  • Build and deploy scalable AI workflows to identify, extract, curate, and analyze evidence.
  • Own delivery, investment decisions, and results for AI-based scientific evidence extraction.
  • Create fit-for-purpose data models and databases, with provenance, quality controls, and reusable evidence assets.
  • Set practices for validation, evaluation, human review, and responsible AI.
  • Develop rigorous scientific analysis workflows and quantify limitations such as uncertainty.
  • Partner with clinical, statistical, regulatory, scientific, legal, and technology stakeholders.
  • Shape shared platform capabilities and align them with architecture, governance, and data-use requirements.
  • Guide multidisciplinary delivery, uphold engineering practices, and mentor cross-functional contributors.
  • Communicate priorities, tradeoffs, risks, progress, and impact to senior stakeholders.

Requirements

  • PhD in a relevant quantitative, clinical, or life sciences field, or a master’s degree with additional relevant experience.
  • At least eight years in pharmaceutical, biotech, or healthcare analytics, including experience setting technical direction.
  • Hands-on experience with systematic reviews, meta-analysis, or quantitative evidence synthesis.
  • Experience in data modeling, scientific data curation, provenance, and quality control.
  • Recent experience building and deploying scalable AI, NLP, or generative AI solutions.
  • Strong Python and/or R skills 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 with technical, scientific, and senior non-technical stakeholders.
  • Experience working with shared platforms, architecture standards, and governance frameworks.
  • Exposure to regulated environments, multimodal document extraction, AI governance, and responsible AI is preferred.

Benefits

  • Eligible for an annual performance bonus.
  • 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.
  • Up to 120 hours of vacation per calendar year.
  • Up to 40 hours of sick time per calendar year.
  • Holiday pay, including up to 13 floating holidays per calendar year.
  • Up to 40 hours of work, personal, and family time per calendar year.

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