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

Johnson & Johnson MedTech

Cambridge, Massachusetts, United States of America
Base: $196,000.00 - $342,700.00; bonus/equity: not...
On-site
Ai safety principles
Foundation and predictive ai models
Generative ai and autonomous agents
Johnson & Johnson MedTech is seeking a Scientific Fellow in AI Safety to lead the integration of AI safety principles across their R&D Data Science and Digital Health initiatives. This technical role requires extensive experience in AI systems and safety in high-stakes environments, with a focus on developing trustworthy AI models to support healthcare advancements

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: 85

Johnson & Johnson MedTech is seeking a Scientific Fellow in AI Safety to lead the integration of AI safety principles across their R&D Data Science and Digital Health initiatives. This technical role requires extensive experience in AI systems and safety in high-stakes environments, with a focus on developing trustworthy AI models to support healthcare advancements.

Salary

Base: $196,000.00 - $342,700.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • AI safety principles
  • Foundation and predictive AI models
  • Generative AI and autonomous agents
  • Safety-by-design principles
  • AI safety evaluation
  • AI safety in regulated environments

Nice-to-have

  • External ambassador for J&J IM R&D AI safety
  • High visibility publications
  • Strategic external collaborations
  • Mentorship program for AI safety

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 Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred

Work Rights

Not specified

Tailored Resume

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