Scientific Fellow, Ai Safety, R&d Data Science And Digital Health
Johnson & Johnson
New Brunswick, NJ, USA
Ai safety, robustness, and observability
Foundation and predictive ai models
Generative ai and autonomous agentic systems
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
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
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.
Skills & Requirements
Must-have
AI safety, robustness, and observability
foundation and predictive AI models
generative AI and autonomous agentic systems
AI safety by design principles
stress testing for hallucinations and edge cases
AI safety in regulated environment
high-stakes biomedical and regulatory contexts
Nice-to-have
shaping model and AI system design
contributing to policy, compliance, and governance
external ambassador for J&J IM R&D AI safety
sustained 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
Demonstrated ability to reason about system-level behavior and risk
Excellent coding and software development capabilities
Experience in Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred