Scientific Fellow, Ai Safety, R&d Data Science And Digital Health

Johnson & Johnson

New Brunswick, New Jersey, United States of America
Base: $196,000.00 - $342,700.00; bonus/equity: not...
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Ai safety principles
Foundation and predictive ai models
Generative ai
** Johnson & Johnson is seeking a Scientific Fellow in AI Safety within their R&D Data Science and Digital Health division. This role focuses on embedding AI safety and robustness into advanced AI systems, requiring a strong technical background and extensive experience in AI safety. **

Job Summary

  • This role is responsible for embedding AI safety, robustness, and observability into the design, evaluation, and deployment of advanced AI systems across the DSDH portfolio and R&D use cases.
  • The Scientific Fellow will work closely with AI scientists, engineers, AI Quality & Optimization, Global Regulatory Affairs, Quantitative Scientists, and Johnson & Johnson Technology (JJT) to ensure AI systems deployed in R&D workflows are safe, trustworthy, and fit‑for‑purpose as AI capability and autonomy scale.
  • Drive J&J innovation in the field, leading to high visibility publications in top-tier AI conferences and journals, patents around AI safety in generative AI, reasoning, multi-agent systems, etc.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Scientific Fellow in AI Safety within their R&D Data Science and Digital Health division. This role focuses on embedding AI safety and robustness into advanced AI systems, requiring a strong technical background and extensive experience in AI safety. **

Salary

Base: $196,000.00 - $342,700.00; Bonus/Equity: Not specified; Benefits: Vacation –120 hours per calendar year, Sick time - 40-56 hours per calendar year, Holiday pay –13 days per calendar year, Work, Personal and Family Time - up to 40 hours per calendar year, Parental Leave – 480 hours, Bereavement Leave – 240-40 hours, Caregiver Leave – 80 hours, Volunteer Leave – 32 hours, Military Spouse Time-Off – 80 hours

Skills & Requirements

Must-have

  • AI safety principles
  • foundation and predictive AI models
  • generative AI
  • autonomous agentic systems
  • AI safety-by-design principles
  • safety-focused models and evaluations

Nice-to-have

  • technical leadership on safety principles
  • internal policy and external best practices
  • high visibility publications
  • external ambassador for J&J IM R&D AI safety
  • strategic external collaborations

Key Requirements

  • PhD or equivalent advanced degree
  • Minimum of 10 years of post-academic, industry experience
  • Proven track record with modern AI systems
  • Extensive experience with AI safety, robustness, reliability, or evaluation
  • Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred

Work Rights

Not specified

Tailored Resume

Cover Letter