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

Johnson and Johnson
High Wycombe
6 months ago
Applications closed

Related Jobs

View all jobs

Associate Medical Director, Medical Safety

Associate Medical Director, Medical Safety

Director of Estates & Facilities

Senior Interiors Technician

Medical Devices Consultant - Senior Mechanical Engineer

Senior Mechanical Engineer - Biotech Mechatronics - Cambridge

Overview

Johnson & Johnson believes 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 MedTech, we innovate across the full spectrum of healthcare solutions today to deliver breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at https://www.jnj.com

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.

Learn more at https://www.jnj.com/innovative-medicine

About the Role

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.

Responsibilities
  • 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.
Qualifications
  • 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 development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions.
  • Strong experience in people leadership, and ability to work in a matrixed organization
  • Excellent communication skills and strategic thinking capabilities.
  • 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 and 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, please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.

#JRDDS #JNJDataScience #JNJIMRND-DS


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Medical Technology Tools Do You Need to Know to Get a Medical Technology Job?

If you’re pursuing a career in medical technology, it can feel like the toolkit is endlessly long: imaging systems, data analysis software, regulatory platforms, testing frameworks, prototyping tools, CAD, quality management systems, signal processing libraries and more. Scroll job boards or LinkedIn, and it’s easy to think you need to know every tool under the sun just to secure an interview. Here’s the honest truth most hiring managers won’t explicitly tell you: 👉 They don’t hire you because you know every tool — they hire you because you understand the underlying principles and can apply the right tool in the right context to solve real problems. Tools matter — absolutely — but they are secondary to problem-solving ability, clinical awareness, engineering rigour and the ability to deliver safe, reliable solutions. So how many medical technology tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think. This article explains what employers really want, which tools are core, which are role-specific, and how to focus your learning so you look confident, competent and end-game ready.

What Hiring Managers Look for First in Medical Technology Job Applications (UK Guide)

Medical technology (MedTech) is one of the most dynamic and high-impact sectors in the UK — spanning medical devices, diagnostics, digital health, AI-assisted systems, wearables, imaging, robotics and clinical software. At the same time, hiring managers are exceptionally selective because MedTech roles demand technical excellence, regulated safety awareness, clinical context and cross-disciplinary collaboration. Whether you’re applying for roles in R&D, engineering, quality & regulatory, clinical validation, product management or software development for medical systems, hiring managers don’t read every word of your CV. They scan it quickly — often deciding within the first 10–20 seconds whether to continue reading. This guide breaks down exactly what hiring managers look for first in medical technology applications — and how you can make your CV, portfolio and cover letter stand out in the UK market.

The Skills Gap in Medical Technology Jobs: What Universities Aren’t Teaching

Medical technology — also known as medtech — is transforming healthcare. Innovations in diagnostics, imaging, wearable sensors, robotics, telehealth, digital therapeutics and advanced prosthetics are improving outcomes and saving lives. As the UK’s National Health Service (NHS) modernises and a thriving life sciences sector expands, demand for medtech professionals is growing rapidly. Yet employers across the UK consistently report a frustrating problem: many graduates are not ready for real medtech jobs. Despite strong academic credentials, candidates often lack the practical, interdisciplinary skills needed to contribute effectively from day one. This is not a question of effort or intelligence. It is a widening skills gap between university education and the applied demands of medical technology roles. This article explores that gap in depth — what universities are teaching well, where programmes fall short, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build thriving careers in medical technology.