Senior Director of Generative AI - R&D Data Science & Digital Health

Overview

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, 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 humanity.

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Job Function: R&D Product Development

Job Sub Function: R&D Machine Learning

Job Category: People Leader

All Job Posting Locations: Beerse, Antwerp, Belgium;
High Wycombe, Buckinghamshire, United Kingdom;
Zug, Switzerland

Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Senior Director of Generative AI - R&D Data Science & Digital Health
. This position can be located in New Brunswick, NJ;
Titusville, NJ;
Springhouse, PA;
La Jolla, CA;
Cambridge, MA;
Beerse, Belgium;
High Wycombe, UK; or Zug, Switzerland. This position will require up to 25% travel.

US based candidates please apply to
: R-035869

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.

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We are seeking a highly technical leader in Generative AI for our Research & Development Data Science & Digital Health (DSDH) organization. This position reports directly to the VP of AI/ML & Digital Health and is tasked with accelerating and scaling the research, development, and deployment of generative and agentic AI models and solutions for scientific, clinical, and regulatory use cases across R&D.

The role encompasses a horizontal engagement across the entire R&D business, positioning you as a senior technical leader in areas such as AI/Generative AI, Large Language Models (LLMs), Large Reasoning Models, Multimodal and Agentic AI. This leader will work across the enterprise, partnering closely with Data Science & Digital Health teams, Johnson & Johnson Technology (JJT), J&J IM R&D therapeutic areas and functions, and interact with senior level stakeholders throughout the company.

• Lead the technical research and implementation of generative AI methods and multi-modal agentic systems, applied to scientific, clinical, and regulatory use cases across R&D.
• In close partnership with JJT, research, develop and deploy impactful and scalable GenAI solutions for therapeutic areas including Oncology, Immunology, and Neuroscience, as well as Discovery Product Development & Supply, Global Drug Development, and Global Regulatory Affairs organizations.
• Attract, upskill and retain top AI talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT.
• Drive strategic decision-making processes concerning Generative AI and Agentic AI, prioritize projects with partners, and lead the development of cross-R&D GenAI solutions.
• Drive J&J innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc.
• Effectively partner with external companies, from startup to Big Tech, to accelerate GenAI development and adoption within J&J IM R&D. Collaborate with key academic centers for research development.

• Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
• Minimum of 10 years of post-academic, industry experience.
• Extensive experience in creating scalable and impactful AI solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
• Proven track record of technical proficiency in machine learning, deep learning, Large Language Models (LLMs), large reasoning models (LRM), agentic systems.
• Excellent coding and software…