Johnson & Johnson Innovative Medicine
Director of AI Optimization and Productization - R&D Data Science & Digital Heal
Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, United States, 19477
Overview
Director of AI Optimization and Productization - R&D Data Science & Digital Health Join to apply for the
Director of AI Optimization and Productization - R&D Data Science & Digital Health
role at
Johnson & Johnson Innovative Medicine . This position can be located in Titusville, NJ; Spring House, PA; La Jolla, CA; Cambridge, MA or London, United Kingdom. Up to 25% travel required. For UK-based candidates, please use the UK Req reference. 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, managing the life cycle of DSDH AI models. Plan compute capacity for DSDH projects in partnership with the DSDH Data Strategy & Platform team and JJT. Foster cross-functional collaboration with DSDH, JJT, therapeutic areas, functions, and senior stakeholders across the enterprise. Attract, grow, and lead a high-performing technical team focused on AI optimization, productization, and life cycle management; mentor junior team members and promote a culture of continuous learning. Qualifications
Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, Biomedical Engineering, or related field. MLOps, AI optimization, or product life cycle certifications are a plus. 8+ years of experience in AI model development, optimization, and deployment, including managing product life cycle. Strong coding and software development skills; experience leading a technical team toward scalable AI solutions. Deep expertise with MLOps frameworks, deployment pipelines, monitoring tools; familiarity with cloud platforms and containerization (AWS preferred). Experience with Agile and DevOps methodologies; regulatory compliance and governance (e.g., GxP, SaMD). Ability to work in a matrixed organization on complex, multi-stakeholder projects; excellent communication and strategic thinking. Experience in Life Sciences, Healthcare, Pharmaceutical or Medical Tech is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status or veteran status. Reasonable accommodations available on request.
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Director of AI Optimization and Productization - R&D Data Science & Digital Health Join to apply for the
Director of AI Optimization and Productization - R&D Data Science & Digital Health
role at
Johnson & Johnson Innovative Medicine . This position can be located in Titusville, NJ; Spring House, PA; La Jolla, CA; Cambridge, MA or London, United Kingdom. Up to 25% travel required. For UK-based candidates, please use the UK Req reference. 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, managing the life cycle of DSDH AI models. Plan compute capacity for DSDH projects in partnership with the DSDH Data Strategy & Platform team and JJT. Foster cross-functional collaboration with DSDH, JJT, therapeutic areas, functions, and senior stakeholders across the enterprise. Attract, grow, and lead a high-performing technical team focused on AI optimization, productization, and life cycle management; mentor junior team members and promote a culture of continuous learning. Qualifications
Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, Biomedical Engineering, or related field. MLOps, AI optimization, or product life cycle certifications are a plus. 8+ years of experience in AI model development, optimization, and deployment, including managing product life cycle. Strong coding and software development skills; experience leading a technical team toward scalable AI solutions. Deep expertise with MLOps frameworks, deployment pipelines, monitoring tools; familiarity with cloud platforms and containerization (AWS preferred). Experience with Agile and DevOps methodologies; regulatory compliance and governance (e.g., GxP, SaMD). Ability to work in a matrixed organization on complex, multi-stakeholder projects; excellent communication and strategic thinking. Experience in Life Sciences, Healthcare, Pharmaceutical or Medical Tech is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status or veteran status. Reasonable accommodations available on request.
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