Senior Manager, R&D Data, Data Science, AI – Digital Health for Neuropsychiatry

Johnson & Johnson

Senior Manager leading digital health innovation for neuropsychiatry and accelerating novel treatments at Johnson & Johnson. Collaborating with cross-functional teams and external partners.

Posted 7/16/2026full-timeCalifornia, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in neuropsychiatry and digital health technologies, applying advanced statistical, machine learning, and AI models to optimize clinical trial design and patient outcomes. Proven ability to collaborate cross-functionally and ensure compliance with regulatory standards while developing innovative digital health solutions.

Highest-signal resume keywords

Advanced Degree In NeuroscienceExperience In Clinical DevelopmentExpertise In NeuropsychiatryBiostatistics And Machine LearningDigital Health Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningLongitudinal AnalysisDigital Health Data IntegrationOutcome AssessmentsPatient StratificationBayesian MethodsCausal Inference TechniquesDigital Endpoint ValidationBiomarker Development

Soft Skills

Cross-Functional LeadershipCommunication SkillsCollaboration Skills

Tools & Technologies

Digital Health TechnologiesNeuroimaging DataSpeech And Language AnalyticsRemote Assessment ToolsPassive Sensing Technologies

Industry Keywords

NeuropsychiatryDigital PhenotypingRegulatory ComplianceData Privacy StandardsClinical Trial Optimization

About the role

Key responsibilities & impact

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.
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.
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.
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.
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.
Contribute to evidence packages to support regulatory qualification of digital endpoints and tools.
Ensure validation and compliance with evolving global regulatory and data privacy standards.
Collaborate with clinical operations to integrate digital health technologies into trial design, working cross-functionally to optimize data capture, integration, and interoperability of digital solutions.
Partner with regulatory and medical affairs to build external collaborations with academic groups, technology partners, regulators, health authorities, and payers to advance digital health standards and novel endpoints.

Requirements

What you’ll need

Advanced degree (PhD, MD, or equivalent) in neuroscience, psychology, psychiatry, cognitive neuroscience, biomedical engineering, data science, biostatistics, or a related quantitative or clinical field.
6+ years of experience in pharmaceutical, biotech, or healthcare analytics.
Experience in clinical development, digital health technologies, outcome assessments, biomarkers, or patient stratification approaches in clinical research, with demonstrated expertise in neuropsychiatry (preferred).
Experience with biostatistics, machine learning, digital health data such as speech, language, behavior, sensor, and/or neuroimaging data, multimodal digital data integration, and longitudinal analysis.
Track record developing and validating digital health tools, endpoints, or biomarkers.
Familiarity with data standards, privacy regulations, and regulatory pathways for digital measures; experience supporting regulatory submissions (strong plus).
Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations.
Excellent cross-functional leadership, communication, and collaboration skills.
Track record of scientific contributions, including presentations and publications.

Benefits

Comp & perks

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
pension plan
401(k) plan
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year