Director of AI Optimization and Productization - R&D Data Science & Digital Health

Johnson & Johnson
High Wycombe
2 months ago
Applications closed

Related Jobs

View all jobs

Managing Director

Managing Director

Managing Director

Managing Director

Managing Director

Managing Director

Job Function

Data Analytics & Computational Sciences


Job Sub Function

Data Science


Job Category

People Leader


All Job Posting Locations

High Wycombe, Buckinghamshire, United Kingdom


Job Description

Johnson & Johnson Innovative Medicine (IM) is recruiting for a Director of AI Optimization and Productization - R&D Data Science & Digital Health. This position can be located in Titusville, NJ; Spring House, PA; La Jolla, CA; Cambridge, MA or London, United Kingdom. This position will require up to 25% travel.


For candidates based in the US, please use Req: R-035871


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 looking for an experienced technical, hands‑on, leader in AI optimization and productization to join our Data Science & Digital Health (DSDH) team within Research & Development (R&D). This role reports directly to the Vice President of AI/ML & Digital Health. The team will support the training, optimization, and deployment of AI models and AI products across the R&D value chain. In close collaboration with Johnson & Johnson Technology (JJT), this leader will leverage enterprise MLOps and DevOps frameworks to implement good AI development practices and life cycle management across DSDH AI projects. A key focus will be optimizing AI models and code for large-scale training, inference performance, and product deployment, working alongside JJT and external partners. Additionally, the role will guide the development of AI applications in areas such as discovery, biomarkers, and clinical endpoints. This leader will engage across the enterprise, partnering with DSDH teams, JJT, and therapeutic areas within J&J Innovative Medicine R&D, while also interfacing with senior stakeholders throughout the organization.


Responsibilities

  • Collaborate with AI scientists in DSDH, R&D partners, and JJT to optimize AI models for large-scale training, inference performance, and their deployment in AI products.
  • Guide and supervise the productization of AI models into applications deployed within R&D or clinical trials for discovery, biomarkers, and clinical endpoints.
  • Oversee the use of enterprise MLOps frameworks within DSDH in close collaboration with JJT, following company best practices and frameworks and managing the life cycle of DSDH AI models.
  • Actively modeling and planning for compute capacity across DSDH projects, in partnership with the DSDH Data Strategy & Platform team and JJT.
  • Work closely with DSDH, JJT, therapeutic areas, functions, and senior stakeholders across the enterprise to promote cross-functional collaboration and stakeholder engagement.
  • Attract, grow, and lead a high-performing technical team focused on AI optimization, productization, and life cycle management.
  • Mentor junior team members and foster a culture of continuous learning.

Qualifications

  • Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, Biomedical Engineering, or a related field. Additional training or certification in MLOps, AI optimization, product life cycle is a plus
  • 8+ years of experience in AI model development, model optimization, and deployment, including managing product life cycle (design, development, testing, deployment, operations & maintenance, etc.).
  • Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions.
  • Deep expertise in using MLOps frameworks, deployment pipelines, and monitoring tools, including familiarity with cloud platforms and containerization tools. Experience with AWS is preferred.
  • Experience with Agile and DevOps methodologies
  • Experience with regulatory compliance and governance (e.g. GxP, SaMD, etc.).
  • Strong experience in leading a technical team, and ability to work in a matrixed organization on complex, multi-stakeholder projects
  • Excellent communication skills and strategic thinking capabilities.
  • Ability to align technical execution with strategic business goals and enterprise-wide initiatives and frameworks.
  • Experience in 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.


Required Skills
Preferred Skills

Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning


#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.