Senior Manager, R&D Data, Data Science, and AI – Digital Health Neuropsychiatry
Listed on 2026-07-20
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IT/Tech
AI Engineer (Applied/Software), Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
Overview
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 Med Tech, 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
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.
Job DetailsJob Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science Portfolio Management
Job Category: Professional
All Job Posting Locations: Cambridge, MA;
Raritan, NJ;
San Diego, CA;
Spring House, PA;
Titusville, NJ
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
Johnson & Johnson Innovative Medicine is recruiting for Senior Manager, R&D Data, Data Science, and AI – Digital Health for Neuropsychiatry to be located at one of our sites in Cambridge, MA, Raritan, NJ, Titusville, NJ, Spring House, PA, or San Diego, CA (La Jolla area).
This Senior Manager will join the Neuroscience Data, Data Science, and AI (DDSAI) team to advance digital health innovation for neuropsychiatry and accelerate development of novel treatments. The role combines hands-on data science leadership in partnership with the Neuroscience clinical and regulatory teams, as well as collaboration with academic, technology, and pre-competitive partners. The leader will help develop, validate, and operationalize digital tools, novel endpoints, patient stratification approaches, and evidence strategies for mood, psychotic, cognitive, and related neuropsychiatric disorders.
Key Responsibilities- Digital Health Strategy
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Partner with cross-functional teams to define a neuropsychiatric digital health roadmap that integrates AI/ML (e.g., foundation models), data science, and company priorities across the patient journey, ensuring clinical relevance and patient-centered outcomes. - Digital Health Landscape
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Monitor emerging technologies in neuropsychiatry, digital phenotyping, remote assessment, passive sensing, and speech and language analytics to bring forward next-generation solutions for neuropsychiatry R&D. - Digital Endpoints & Tools
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Execute the neuropsychiatry-focused digital health strategy by applying AI/ML, modeling, and longitudinal analytics to support patient stratification, endpoint development, and clinical trial optimization, in partnership with disease experts, statisticians, and platforms and clinical teams on study design and validation of digital measures, balancing their informativeness with low clinical burden for patients and study teams. - Advanced Statistical Modeling
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Develop and apply sophisticated statistical/ML/AI models using digital health data to generate insights into disease and treatment outcomes. Leverage longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform decision-making. - Multimodal Integration
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Develop multimodal approaches combining digital health data with imaging, blood-based biomarkers, omics, and real-world data to provide a more holistic picture of patients suffering from neuropsychiatric disease. - Evidence Generation
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Contribute to evidence packages to support regulatory qualification of digital endpoints and tools. - Regulatory
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Ensure validation and compliance with evolving global regulatory and data privacy standards. - Internal Leadership
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Collaborate with clinical operations to integrate digital…
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