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

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Data Analyst

Data Analyst

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.