Johnson & Johnson Innovative Medicine (IM) is looking to optimize AI models and productize AI applications across the R&D value chain to accelerate the development of treatments and cures.
Requirements
Advanced degree (PhD or Master’s) in Computer Science, Machine Learning, Biomedical Engineering, or a related field.
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
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.
Other
This position will require up to 25% travel.
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
Excellent communication skills and strategic thinking capabilities.
