Scientific Fellow, AI Safety, R&D Data Science – Digital Health
Johnson & Johnson
full-time
Posted on:
Location Type: Hybrid
Location: Titusville • California • Massachusetts • United States
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Salary
💰 $196,000 - $342,700 per year
About the role
- Shape DSDH and IM R&D strategy for safe and trustworthy AI by defining multi-year research priorities, capability roadmaps, and investment recommendations for AI safety across discovery, development, clinical, and regulatory workflows.
- Represent AI safety as a senior scientific voice in function- and enterprise-level councils/working groups; set standards and priorities for safe scaling of GenAI and agentic systems, and provide technical leadership on safety principles and implementation for agentic and autonomous systems.
- Research, embed and implement AI safety ‑by ‑design principles into the development of foundation models, AI and generative AI applications, and agentic systems across R&D use cases.
- Design and execute safety‑focused models and evaluations, including but not limited to stress testing for hallucinations, edge cases, and failure propagation in multi‑step reasoning and agent workflows.
- Provide technical leadership for AI safety in regulated environment, covering use cases, e.g. regulatory documentation for AI-enabled R&D processes and submissions, autonomous agents in GxP environments, etc..
- 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.
Requirements
- Required PhD or equivalent advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Minimum of 10 years of post-academic, industry experience.
- Proven track record and strong hands‑on experience with modern AI systems, including foundation models, multimodal generative AI, large reasoning models or agentic systems
- Extensive experience with AI safety, robustness, reliability, or evaluation in high‑impact or high‑stakes domains.
- Demonstrated ability to reason about system‑level behavior, failure modes, and risk, beyond model accuracy and robustness alone.
- Excellent coding and software development capabilities.
- Experience working in highly interdisciplinary and matrixed environments spanning AI, data science, engineering, and life science.
- Strong communication skills and ability to influence AI model and systems design without formal authority.
- Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred.
Benefits
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI safetyfoundation modelsmultimodal generative AIlarge reasoning modelsagentic systemssoftware developmentsystem-level behavior analysisfailure mode analysisrisk assessmentstress testing
Soft Skills
technical leadershipcommunication skillsinfluence without authorityinterdisciplinary collaborationorganizational skills
Certifications
PhDadvanced degree in Computer Scienceadvanced degree in Artificial Intelligenceadvanced degree in Machine Learningadvanced degree in Data Science