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

Johnson & Johnson

Cambridge, Massachusetts, United States
Base: $196,000.00 - $342,700.00; bonus/equity: not...
Not specified (potential for hybrid/remote due to multiple locations).
Phd in computer science or related field
10+ years industry experience in ai/ml
Expertise in foundation models and agentic systems
Johnson & Johnson is seeking a Scientific Fellow in AI Safety for their R&D Data Science and Digital Health division. The role focuses on embedding safety and robustness into advanced AI systems within the healthcare sector, requiring extensive experience in AI and a PhD in related fields

Job Summary

  • This role is responsible for embedding AI safety, robustness, and observability into the design and deployment of advanced AI systems across Johnson & Johnson's R&D portfolio.
  • The Scientific Fellow will shape multi-year research priorities and provide technical leadership on safety principles for generative AI and autonomous agentic systems.
  • Candidates must demonstrate a proven track record in high-stakes domains with the ability to reason about system-level behavior and failure modes beyond simple model accuracy.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Scientific Fellow in AI Safety for their R&D Data Science and Digital Health division. The role focuses on embedding safety and robustness into advanced AI systems within the healthcare sector, requiring extensive experience in AI and a PhD in related fields.

Salary

Base: $196,000.00 - $342,700.00; Bonus/Equity: Not specified; Benefits: Vacation, Sick time, Holiday pay, Parental Leave, Bereavement Leave, Caregiver Leave

Skills & Requirements

Must-have

  • PhD in Computer Science or related field
  • 10+ years industry experience in AI/ML
  • Expertise in foundation models and agentic systems
  • Hands-on AI safety and robustness implementation
  • Strong coding and software development skills

Nice-to-have

  • Experience in Life Sciences or Pharma sector
  • Track record of high-visibility publications
  • Leadership in cross-functional matrixed environments
  • Influence on external policy and standards bodies
  • Mentorship program development experience

Key Requirements

  • PhD or equivalent advanced degree required
  • Minimum 10 years post-academic industry experience
  • Proven hands-on experience with modern AI systems
  • Extensive experience in AI safety and evaluation
  • Excellent coding and software development capabilities

Work Rights

Not specified

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