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

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

Johnson & Johnson Innovative MedicineSan Diego, CA, United States
1 day ago
Job type
  • Full-time
Job description

Overview

Director of AI Optimization and Productization - R&D Data Science & Digital Health at Johnson & Johnson Innovative Medicine. This role leads AI optimization and productization efforts across the R&D Data Science & Digital Health (DSDH) team, partnering with Johnson & Johnson Technology (JJT) and senior stakeholders to train, optimize, deploy AI models and AI products across the R&D value chain. Travel up to 25% may be required. Location options include Titusville, NJ; Spring House, PA; La Jolla, CA; Cambridge, MA; or London, United Kingdom.

Note : This description reflects the responsibilities, qualifications, and expectations for the role as posted.

Responsibilities

  • Collaborate with AI scientists in DSDH, R&D partners, and JJT to optimize AI models for large-scale training, inference performance, and 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 collaboration with JJT, following company best practices and managing the lifecycle of DSDH AI models.
  • Model and plan compute capacity across DSDH projects in partnership with the DSDH Data Strategy & Platform team and JJT.
  • Promote cross-functional collaboration and stakeholder engagement with DSDH, JJT, therapeutic areas, functions, and senior leaders across the enterprise.
  • Attract, grow, and lead a high-performing technical team focused on AI optimization, productization, and lifecycle 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 related field. Additional training or certification in MLOps, AI optimization, or product lifecycle is a plus.
  • 8+ years of experience in AI model development, optimization, and deployment, including managing product lifecycle (design, development, testing, deployment, operations & maintenance).
  • Excellent coding and software development capabilities, with proven ability to lead a technical team toward scalable AI solutions.
  • Deep expertise in MLOps frameworks, deployment pipelines, and monitoring tools; familiarity with cloud platforms and containerization (AWS preferred).
  • Experience with Agile and DevOps methodologies.
  • Experience with regulatory compliance and governance (e.g., GxP, SaMD).
  • Strong leadership in a matrixed organization on complex, multi-stakeholder projects.
  • Excellent communication and strategic thinking skills; ability to align technical execution with business goals and enterprise initiatives.
  • Experience in Life Sciences, Healthcare, Pharmaceutical, or Medical Tech is preferred.
  • Compensation and Benefits

    Anticipated base pay range : $160,000 – $276,000. Johnson & Johnson offers comprehensive benefits, including medical, dental, vision, life insurance, disability coverage, and retirement plans. Eligible for the company’s long-term incentive program and paid time off benefits as described in the posting.

    Equal Opportunity Employer

    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 law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined by VEVRAA and Section 503 of the Rehabilitation Act. If you require accommodations during the interview process, please email ra-employeehealthsup@its.jnj.com or contact AskGS for assistance.

    #JRDDS #JNJDataScience #JNJIMRND-DS

    #J-18808-Ljbffr

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