Senior Manager, R&D Data, Data Science, and AI – Digital Health for Neuropsychiatry
$137,000–$235,750 year
HybridCambridge, Massachusetts, United States or San Diego, California, United States
Cambridge, Massachusetts, United States or San Diego, California, United StatesHybridFull Time$137,000–$235,750 yearSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Define a neuropsychiatric digital health roadmap integrating AI/ML and data science to support patient-centered outcomes. Monitor emerging technologies in digital phenotyping and remote assessment to advance next-generation R&D solutions. Execute strategy by applying longitudinal analytics for patient stratification, endpoint development, and clinical trial optimization in partnership with disease experts. Develop sophisticated statistical and multimodal models combining digital health data with imaging and biomarkers to generate insights on disease and treatment. Contribute to evidence packages for regulatory qualification of digital endpoints while ensuring compliance with global standards. Collaborate cross-functionally to integrate digital technologies into trial design and partner externally with academic groups and regulators to advance novel endpoints.
Required Qualifications
- 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
- 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
- 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
- Familiarity with data standards, privacy regulations, and regulatory pathways for digital measures
- Experience supporting regulatory submissions
- Experience with AI/ML (e.g., foundation models)
- Experience with longitudinal disease modeling
- Experience with Bayesian methods
- Experience with causal inference techniques
- Experience combining digital health data with imaging, blood-based biomarkers, omics, and real-world data
- Experience ensuring validation and compliance with evolving global regulatory and data privacy standards
- Experience collaborating with academic, technology, and pre-competitive partners
- Experience building external collaborations with academic groups, technology partners, regulators, health authorities, and payers
- Experience working cross-functionally to optimize data capture, integration, and interoperability of digital solutions
- Experience partnering with regulatory and medical affairs
- Experience developing a neuropsychiatric digital health roadmap
- Experience monitoring emerging technologies in neuropsychiatry, digital phenotyping, remote assessment, passive sensing, and speech and language analytics
- Experience applying AI/ML, modeling, and longitudinal analytics to support patient stratification, endpoint development, and clinical trial optimization
- Experience contributing to evidence packages to support regulatory qualification of digital endpoints and tools
- Experience developing multimodal approaches combining digital health data with imaging, blood-based biomarkers, omics, and real-world data
- Experience developing and applying sophisticated statistical/ML/AI models using digital health data to generate insights into disease and treatment outcomes
- Experience leveraging longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform decision-making
- Experience developing digital health tools, novel endpoints, patient stratification approaches, and evidence strategies for mood, psychotic, cognitive, and related neuropsychiatric disorders
- Experience partnering with the Neuroscience clinical and regulatory teams
- Experience collaborating with academic, technology, and pre-competitive partners
- Experience developing and operationalizing digital tools, novel endpoints, patient stratification approaches, and evidence strategies for mood, psychotic, cognitive, and related neuropsychiatric disorders
- Experience defining 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
- Experience monitoring 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
- Experience executing the neuropsychiatry-focused digital health strategy by applying AI/ML, modeling, and longitudinal analytics to support patient stratification, endpoint development, and clinical trial optimization
- Experience partnering with disease experts, statisticians, and platforms and clinical teams on study design and validation of digital measures
- Experience balancing informativeness with low clinical burden for patients and study teams
- Experience collaborating with clinical operations to integrate digital health technologies into trial design
- Experience working cross-functionally to optimize data capture, integration, and interoperability of digital solutions
- Experience partnering 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
- Experience developing and applying sophisticated statistical/ML/AI models using digital health data to generate insights into disease and treatment outcomes
- Experience leveraging longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform decision-making
- Experience developing 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
- Experience contributing to evidence packages to support regulatory qualification of digital endpoints and tools
- Experience ensuring validation and compliance with evolving global regulatory and data privacy standards
- Experience collaborating with clinical operations to integrate digital health technologies into trial design, working cross-functionally to optimize data capture, integration, and interoperability of digital solutions
- Experience partnering 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
- Experience with Advanced Analytics
- Experience with Business Case Modeling
- Experience with Consulting
- Experience with Cross-Functional Collaboration
- Experience with Data Privacy Standards
- Experience with Data Science
- Experience with Data Structures
- Experience with Digital Fluency
- Experience with Digital Strategy
- Experience with End to End Implementation
- Experience with Global Market
- Experience with Negotiation
- Experience with Organizing
- Experience with Predictive Modeling
- Experience with Process Improvements
- Experience with Product Portfolio Management
- Experience with Technical Credibility
- Experience with Advanced Analytics
- Experience with Business Case Modeling
- Experience with Consulting
- Experience with Cross-Functional Collaboration
- Experience with Data Privacy Standards
- Experience with Data Science
- Experience with Data Structures
- Experience with Digital Fluency
- Experience with Digital Strategy
- Experience with End to End Implementation
- Experience with Global Market
- Experience with Negotiation
- Experience with Organizing
- Experience with Predictive Modeling
- Experience with Process Improvements
- Experience with Product Portfolio Management
- Experience with Technical Credibility
Desired Qualifications
- Demonstrated expertise in neuropsychiatry (preferred)
- Experience supporting regulatory submissions (strong plus)
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