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Johnson & Johnson is seeking a highly technical leader in AI safety for their R&D Data Science and Digital Health organization. The role focuses on ensuring AI systems are safe, robust, and trustworthy while contributing to strategic direction and research priorities within a collaborative environment.
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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 define standards for safe scaling of generative AI and autonomous agentic systems in regulated healthcare workflows.
Candidates must possess a PhD and over a decade of post-academic experience with modern AI systems including foundation models and large reasoning models.
Matching Summary
Match Score: 75
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Johnson & Johnson is seeking a highly technical leader in AI safety for their R&D Data Science and Digital Health organization. The role focuses on ensuring AI systems are safe, robust, and trustworthy while contributing to strategic direction and research priorities within a collaborative environment.
**
Salary
Base: $196,000.00 - $342,700.00; Bonus/Equity: Eligible for long-term incentive program; Benefits: Retirement plan, 401(k), vacation, sick time, parental leave
Skills & Requirements
Must-have
PhD in Computer Science or related field
10+ years industry experience in AI
Hands-on foundation model expertise
AI safety and robustness implementation
System-level failure mode reasoning
Nice-to-have
Life sciences or pharmaceutical sector experience
Experience with GxP environments
Strong publication record in top-tier conferences
Cross-functional influence without authority
Mentorship program development
Key Requirements
PhD or equivalent advanced degree required
Minimum 10 years post-academic industry experience
Proven track record in high-stakes AI safety domains