At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Machine Learning

Job Category:

People Leader

All Job Posting Locations:

Cambridge Massachusetts United States of America San Diego California United States of America Spring House Pennsylvania United States of America Titusville New Jersey United States of America

Job Description:

Johnson & Johnson Innovative Medicine (IM) is recruiting for a Scientific Fellow AI Safety R&D Data Science and Digital Health. This position can be located in New Brunswick NJ; Titusville NJ; Springhouse PA; La Jolla CA; Cambridge MA; Beerse Belgium; or Zug Switzerland.. This position will require up to 25% travel.

Candidates interested in European Locations please apply to: R-070274

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at the Role

We are seeking a highly technical leader in AI safety for our Research & Development Data Science & Digital Health (DSDH) organization. Reporting directly to the Vice President of AI/ML & Digital Health 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. These systems span foundation and predictive AI models generative AI and autonomous agentic systems supporting discovery development clinical and regulatory workflows.

This is a hands-on technical deeply scientific fellow role focused on shaping model and AI system design and evaluation while contributing to policy compliance and enterprise governance. 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 fitforpurpose as AI capability and autonomy scale.

Responsibilities

Strategic direction and research priorities

• 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.

AI safety research and development

• Research embed and implement AI safetybydesign principles into the development of foundation models AI and generative AI applications and agentic systems across R&D use cases.
• During all design phases partner directly with AI and quantitative scientists across IM R&D as well as with technical leads in JJT to:
  • Identify potential failure modes risks appropriate levels of autonomy and human oversight
  • define safetyrelevant observability signals acceptable failure envelopes and mitigation strategies tailored to different R&D contexts (research clinical regulatory)
  • ensure monitoring captures unsafe behaviors not only performance drift.
• Design and execute safetyfocused models and evaluations including but not limited to stress testing for hallucinations edge cases and failure propagation in multistep reasoning and agent workflows.

Technical guidance and Policy influence/setting

• 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..
• Influence internal policy and external best practices by contributing to guidance documents/points-to-consider for safe GenAI and agentic systems in pharma R&D including participation in expert working groups and advisory panels.
• Track emerging risks research and best practices in AI safety and translate them into practical guidance for internal teams.

Securing funding/resources

• Develop business cases to secure investment for AI safety capabilities and lead execution of funded initiatives

External leadership

• 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.
• Serve as an external ambassador for J&J IM R&D AI safety: invited talks and keynotes conference leadership roles (area chair workshop organizer) and participation in cross-industry consortia and standards bodies.
• Establish and lead strategic external collaborations with academic industry and governmental partners focused on AI safety in high-stakes biomedical and regulatory contexts.

Mentorship

• Establish a sustained mentorship program for AI safety across IM R&D including coaching on technical approaches and trends publication strategy and cross-functional influence.
• Actively contribute to IM R&D Fellow Community by showcasing technical excellence in various internal and external events being the AI safety voice in the community and contributing to activities sponsored by the IM R&D Science & Technology Council

Qualifications

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 handson 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 highimpact or highstakes domains.
• Demonstrated ability to reason about systemlevel 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.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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Required Skills:

Preferred Skills:

Artificial Intelligence (AI) Cognitive Computing Compliance Management Curious Mindset Data Structures Developing Others Disruptive Innovations Human-Computer Interaction (HCI) Human-Computer Relationships Inclusive Leadership Leadership Machine Learning (ML) Process Improvements Relationship Building Research and Development SAP Product Lifecycle Management Scripting Languages Tactical Planning

The anticipated base pay range for this position is :

$196000.00 - $342700.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).



This position is eligible to participate in the Companys long-term incentive program.



Subject to the terms of their respective policies and date of hire employees are eligible for the following time off 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 period10 days

Volunteer Leave 32 hours per calendar year

Military Spouse Time-Off 80 hours per calendar year

For additional general information on Company benefits please go to: - Experience:

Exec