Senior Scientist, AI Lead

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

• Lead cross-functional AI projects supporting Cell & Gene Therapy development priorities. Define project scope, plans, resources, milestones, decision points, and measurable success criteria. 
• Coordinate cross-functional teams and external partners; manage risks, dependencies, decisions, and stakeholder communication. 
• Lead the design, prototype, test, and iteration of AI solutions across machine learning, generative and agentic AI, natural language processing, computer vision, knowledge graphs, predictive analytics, and AI-enabled digital twins. 
• Evaluate solutions for model performance, scientific validity, usability, reliability, and business value. 
• Integrate successful solutions into scientific workflows, data platforms, digital twins, and automated laboratory environments with reuse and scale in mind. 
• Embed responsible AI and lifecycle practices, including fit-for-purpose validation, transparency, privacy, security, governance, human oversight, performance monitoring, and clear communication of model limitations. 

• Partner with process development, analytical, manufacturing, and business teams to identify scientific and operational challenges that could benefit from AI. 
• Translate domain needs into clear AI use cases, user requirements, data needs, and expected outcomes. 
• Assess use cases based on scientific value, business impact, data readiness, technical feasibility, risk, and scalability. 
• Serve as a key interface between scientific subject matter experts, data science, and technology teams. 

• Establish productive relationships with internal data science teams, technology partners, academic collaborators, and vendors. 
• Bring external developments and best practices into the organization while avoiding fragmented or duplicative solutions. 
• Contribute to prioritization and evolution of the Cell & Gene Therapy AI roadmap. 

• Define and track adoption, scientific impact, cycle-time, quality, and efficiency measures. 
• Share outcomes, lessons learned, and reusable practices to accelerate adoption across the organization. 
• Promote a culture in which AI augments scientific expertise and accelerates learning while preserving appropriate human judgment. 

• A minimum of a BS degree in a core science or engineering field, including biology, chemistry, chemical/biochemical engineering, biomedical engineering, or a related discipline, with at least 4 years of relevant experience; OR an MS or equivalent with at least 2 years of relevant experience; OR a PhD or equivalent with 0-1 year of relevant experience is required.
• A minimum of 2 years of academic or industry experience delivering AI, machine learning, data science, or AI solution architecture initiatives. Experience applying these approaches to pharmaceutical or life sciences problems is preferred.
• Demonstrated experience leading complex projects from use-case definition through implementation. 
• Working knowledge of multiple AI approaches, such as supervised and unsupervised learning, deep learning, generative AI, large language models, agentic AI, natural language processing, computer vision, knowledge graphs, reinforcement learning, or hybrid modeling. 
• Ability to translate scientific questions into AI solution requirements and translate technical outputs into actionable scientific or business decisions. 
• Strong interpersonal and communication skills, with the ability to influence diverse audiences. 
• Strategic insight, strong personal leadership skills, detail oriented and a record of effective collaboration with diverse team members 

• Hands-on experience developing or prototyping AI/ML solutions using Python, R, or comparable tools. 
• Experience with generative AI, retrieval-augmented generation, AI agents, multimodal models, or scientific knowledge graphs. 
• Experience with process modeling, mechanistic or hybrid modeling, predictive analytics, optimization, or AI-enabled digital twins. 
• Experience integrating AI with laboratory data, scientific software, connected equipment, or automated workflows. 
• Experience assessing model performance, data quality, explainability, limitations, and fit-for-purpose use. 

• Experience working in biotechnology, pharmaceuticals, Cell & Gene Therapy, biologics development, or a related scientific environment. 
• Domestic and international travel up to 15%

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 federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.

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