At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Johnson & Johnson Innovative Medicine is seeking an Associate Director, Product Management to help drive the development, delivery, and lifecycle management of Generative AI–enabled products across R&D. This role will support a growing portfolio of GenAI capabilities focused on augmenting critical scientific, clinical, and operational workflows by leading cross-functional teams tasked with developing AI-driven products for specific, critical functions defined in collaboration with Immunology. Key functions include, but are not limited to, automating workflows, knowledge retrieval, AI-driven data models, and document generation. This position sits at the intersection of product strategy, data science, and R&D domain workflows. The role will work closely with data scientists, engineers, and R&D stakeholders within Immunology to translate complex scientific and operational needs into scalable, compliant, and impactful AI-enabled products. The ideal candidate brings strong product management fundamentals, comfort operating in regulated scientific environments, and the ability to bridge technical AI capabilities with drug development workflows. This candidate should be able to connect technical software requirements to end-user outcomes, and to interact with both technical teams and biological sciences stakeholders.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees