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Johnson & Johnson
Johnson & Johnson
H1B Visa SponsorBiotechnologyHealthcarePharmaceuticals
Johnson & Johnson is a global healthcare company working across pharmaceuticals, medical devices, and consumer health. Its research and product development activities include medicines and therapies for oncology, immunology, neuroscience, and cardiopulmonary conditions, alongside MedTech solutions for cardiovascular care, orthopaedics, surgery, and vision. The company’s wider work also includes health and wellness education, large-scale manufacturing, investor activities, and global social-impact initiatives, creating opportunities across scientific, clinical, engineering, manufacturing, commercial, and corporate functions.
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Director of Data Science, AI Evidence Extraction

Lead AI-powered scientific evidence extraction, curation, and synthesis for Johnson & Johnson’s Neuroscience clinical development. Build reusable, traceable data assets and workflows.

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

Description

  • Set the strategy, roadmap, priorities, and value measures for Neuroscience scientific evidence data capabilities.
  • Build and deploy scalable AI workflows, including agents, to identify, extract, curate, and analyze evidence.
  • Lead delivery, investment decisions, and outcomes 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, including uncertainty.
  • Collaborate with clinical, statistical, regulatory, scientific, legal, and technology teams.
  • Shape shared platform capabilities and align them with architecture, governance, and data-use requirements.
  • Guide multidisciplinary delivery, uphold strong engineering practices, and mentor cross-functional contributors.
  • Keep senior stakeholders informed about priorities, tradeoffs, risks, progress, and impact.

Requirements

  • PhD in a relevant quantitative, clinical, or life sciences field, or a master’s degree with additional relevant experience.
  • At least 8 years in pharmaceutical, biotechnology, or healthcare analytics, including experience setting technical direction.
  • Practical 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, alongside sound software engineering practices.
  • Understanding of evaluation, validation, uncertainty, and human-in-the-loop review.
  • Ability to assess scientific evidence and make well-founded technical tradeoffs.
  • Track record of cross-functional leadership and influence without relying on managerial authority.
  • Clear communication with technical, scientific, and senior non-technical stakeholders.
  • Experience working with shared platforms, architecture standards, and governance frameworks.
  • Experience with regulated environments, multimodal document extraction, AI governance, or 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.
  • Company consolidated retirement plan (pension).
  • 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 per calendar year for work, personal, and family time.
  • Hybrid work arrangement.

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