Director, Data Science - GenAI - Neuroscience

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.

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

This is a senior AI seat for Neuroscience R&D, with genuine latitude over what gets built and why. You inherit a production agentic platform (runtime, orchestration, registered corpus, permission model, evaluation registry) and a voice in where it goes next, so your time goes to the part that cannot be outsourced to a model: strategic and hands-on investment in the platform to get the science right. The measure of success at twelve months is platform usage by the neuroscientists who move faster with high scientific accuracy, and a strategic Neuroscience AI plan that leadership funds because you argued for it with evidence. Your work will directly accelerate Johnson & Johnson's scientific discovery, fuel AI innovation, and impact patients globally. 

• →Set the Neuroscience AI strategy, portfolio, roadmap, and measures of value. 
• →Build and deploy scalable agentic AI and generative AI solutions for priority scientific needs. 
• →Own delivery, investment decisions, and outcomes for the Neuroscience AI portfolio. 
• →Ensure scientific rigor, appropriate evidence use, and reliable domain representation. 
• →Establish evaluation standards, expert validation, and responsible AI practices. 
• →Shape shared platform capabilities and develop reusable solutions aligned with enterprise architecture. 
• →Guide multidisciplinary teams and maintain strong engineering and lifecycle practices. 
• →Partner with scientists and leaders to prioritize needs, validate solutions, and drive adoption. 
• →Communicate technical choices, risks, progress, and impact to senior stakeholders. 

• PhD in computer science, computational biology, genetics, genomics, medical informatics, or a related quantitative field; or MS with additional relevant experience. 
• 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction. 
• Within the last 18 months, you should have hands-on experience building agentic systems and deploying AI, NLP, or generative AI solutions, leveraging LLMs, retrieval, grounding, and evaluation. 
• Strong ability to critically assess scientific evidence, with optional expertise in neuroscience. 
• Strong Python skills and sound software engineering practices. 
• Experience leading multidisciplinary technical delivery and influencing across organizational boundaries. 
• Demonstrated ability to define priorities, make evidence-based tradeoffs, and deliver measurable value. 
• Strong communication skills with technical, scientific, and senior non-technical stakeholders. 
• Experience developing within shared platforms, architecture standards, and governance frameworks. 
• Experience with genetics, multi-omics, imaging, ontologies, or scientific knowledge systems preferred. 
• Exposure to regulated environments, AI governance, and human-in-the-loop systems is preferred. 
• Optional: industry experience in drug discovery, clinical development, neuroscience.