Johnson & Johnson
Johnson & Johnson
Johnson & Johnson ir globāls veselības aprūpes uzņēmums, kas darbojas farmācijas, medicīnas ierīču un patērētāju veselības jomā. Tā pētniecības un produktu izstrādes darbība ietver onkoloģijas, imunoloģijas, neirozinātnes, kā arī sirds un plaušu slimību zāles un terapijas, līdztekus MedTech risinājumiem sirds un asinsvadu aprūpei, ortopēdijai, ķirurģijai un redzes aprūpei. Uzņēmuma plašākā darbība ietver arī veselības un labklājības izglītību, liela mēroga ražošanu, darbu ar investoriem un globālas sociālās ietekmes iniciatīvas, radot iespējas zinātnes, klīniskā darba, inženierijas, ražošanas, komercdarbības un uzņēmuma funkcijās.

Director of Data Science, Generative AI for Neuroscience

Lead generative and agentic AI initiatives across Johnson & Johnson’s Neuroscience R&D, building scientific platforms that speed drug discovery and support better patient outcomes.

Apraksts

  • Define the Neuroscience AI strategy, portfolio, roadmap, and value measures
  • Build and deploy scalable agentic and generative AI for high-priority scientific needs
  • Direct portfolio delivery, investment choices, and outcomes
  • Uphold scientific rigor, evidence quality, and accurate domain representation
  • Set evaluation standards, expert review, and responsible AI practices
  • Develop shared platform capabilities and reusable solutions that fit enterprise architecture
  • Lead multidisciplinary teams and sustain strong engineering and lifecycle practices
  • Work with scientists and leaders to prioritize needs, validate solutions, and encourage adoption
  • Explain technical decisions, risks, progress, and impact to senior stakeholders
  • Oversee platform development, scientific evaluation, user adoption, and measurable portfolio value

Prasības

  • PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative discipline; alternatively, an MS with additional relevant experience
  • At least 8 years in pharmaceutical, biotech, or healthcare analytics, including experience setting technical direction
  • Recent hands-on experience, within the past 18 months, building agentic systems and deploying AI, NLP, or generative AI using LLMs, retrieval, grounding, and evaluation
  • Ability to critically assess scientific evidence
  • Strong Python proficiency and sound software engineering practices
  • Experience leading multidisciplinary technical delivery and influencing across organizational boundaries
  • Ability to set priorities, make evidence-based tradeoffs, and deliver measurable value
  • Strong communication with technical, scientific, and senior non-technical stakeholders
  • Experience building on shared platforms and working with architecture standards and governance frameworks
  • Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems is preferred
  • Exposure to regulated environments, AI governance, and human-in-the-loop systems is preferred
  • Industry experience in drug discovery, clinical development, or neuroscience is optional
  • Must work from a US site in Raritan, Titusville, or Spring House, New Jersey; Cambridge, Massachusetts; or San Diego, California
  • Travel may be required as needed

Priekšrocības

  • 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 per calendar year of Work, Personal and Family Time

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