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Johnson & Johnson
Johnson & Johnson
H1B vizos rėmėjasBiotechnologijaFarmacijos produktaiSveikatos priežiūra
Johnson & Johnson yra pasaulinė sveikatos priežiūros bendrovė, veikianti farmacijos, medicinos prietaisų ir vartotojų sveikatos srityse. Jos mokslinių tyrimų ir produktų kūrimo veikla apima onkologijos, imunologijos, neuromokslų bei širdies ir plaučių ligų vaistus ir gydymo būdus, taip pat medicinos technologijų sprendimus širdies ir kraujagyslių priežiūros, ortopedijos, chirurgijos ir regos srityse. Platesnė bendrovės veikla apima ir sveikatos bei gerovės švietimą, plataus masto gamybą, darbą su investuotojais bei pasaulines socialinio poveikio iniciatyvas, sudarančias galimybes dirbti mokslo, klinikinėse, inžinerijos, gamybos, komercinėse ir įmonės funkcijose.
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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.

USJungtinės ValstijosMAMasačusetsasNJNaujasis DžersisPAPensilvanija
164 000 $ – 282 900 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
Python

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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.

Susiję darbai

Johnson & Johnson

Principal Scientist, Data Science and Scientific Data Products

Johnson & Johnson
H1B vizos rėmėjasBiotechnologijaFarmacijos produktaiSveikatos priežiūra
USJungtinės ValstijosNJNaujasis DžersisPAPensilvanija
117 000 $ – 201 250 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
AWSDebesija

Lead development of AI-ready scientific data products for Johnson & Johnson’s drug discovery and development work. The role spans AWS integration, predictive modeling, metadata, and scientific data architecture.

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Principal Scientist, Data Science – Data Products and Integration (Hybrid, Spring House)

Johnson & Johnson
H1B vizos rėmėjasFarmacijos produktaiSveikatos draudimasSveikatos priežiūra
USJungtinės ValstijosNJNaujasis DžersisPAPensilvanija
117 000 $ – 201 250 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
AWSDebesija

Lead the development of AI-ready scientific data products and integration strategies for Johnson & Johnson’s drug discovery and development work. Support predictive modeling, knowledge graphs, and translational safety decisions.

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Johnson & Johnson

Director of Data Science, Generative AI for Neuroscience

Johnson & Johnson
H1B vizos rėmėjasBiotechnologijaFarmacijos produktaiSveikatos priežiūra
USJungtinės ValstijosCAKalifornijaMAMasačusetsasNJNaujasis DžersisPAPensilvanija
164 000 $ – 282 900 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
PythonSpring

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.

Atidaryti
Johnson & Johnson

Director of Data Science, AI Evidence Extraction

Johnson & Johnson
H1B vizos rėmėjasFarmacijos produktaiSveikatos draudimasSveikatos priežiūra
USJungtinės ValstijosMAMasačusetsasNJNaujasis DžersisPAPensilvanija
164 000 $ – 282 900 $ / metai
HibridinisVisas etatasVadovasPrivaloma Kalba: anglųDuomenų mokslininkas
Python

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.

Atidaryti