Postdoctoral Fellow in Digital Health - Digital Therapeutics

Dartmouth College
United States, New Hampshire, Lebanon
Apr 18, 2025
Dartmouth College: Geisel School of Medicine: Department of Biomedical Data Science Location Lebanon, NH Open Date Apr 14, 2025 Description To lead the clinical research and implementation of AI-driven mental health interventions at Dartmouth College, bridging behavioral science with cutting-edge technology. This position will advance the field of digital therapeutics by ensuring that AI-enabled interventions are grounded in psychological theory and evidence-based practices while measuring their effectiveness in improving student mental health outcomes. The role offers an opportunity to shape the future of technology-enabled mental health care through innovative research that combines clinical expertise with artificial intelligence applications. This is a full-time, funded position for up to 5 years that depends upon the continued availability of funds. Key Accountabilities Clinical Research and Oversight (40%) Design and implement clinical protocols for AI-driven interventions Develop assessment frameworks for measuring mental health outcomes Ensure interventions align with evidence-based therapeutic practices Lead research on intervention effectiveness and clinical outcomes Create safety protocols and risk management procedures Conduct systematic reviews of relevant clinical literature Publish research findings in peer-reviewed journals Present at academic conferences and clinical meetings Contribute to grant proposals and reserach funding applications Develop clinical guidelines for AI-enabled therapeutic interactions Assessment and Evaluation (30%) Design comprehensive assessment batteries for mental health outcomes Develop and validate measurement tools for digital interventions Create protocols for monitoring clinical effectiveness Analyze intervention outcomes and identify improvement areas Lead mixed-methods evaluation of therapeutic components Implement quality assurance processes for clinical content Monitor and evaluate therapeutic alliance in AI interactions Design protocols for detecting and managing clinical risk Coordinate with technical teams on clinical integration Prepare clinical outcome reports and publications Clinical-Technical Integration (20%) Collaborate with LLM developers on therapeutic content generation Work with technical teams to implement clinical safety features Ensure clinical appropriateness of AI-generated responses Develop guidelines for handling crisis situations Create specifications for clinical decision support systems Review and refine AI-generated therapeutic models Participate in technical development meetings Guide implementation of clinical best practices Support integration of passive sensing data with clinical assessments Research Leadership and Collaboration (10%) Mentor graduate students and research assistants Coordinate with interdisciplinary team members Participate in research team meetings Contribute to research protocal development Support grant writing efforts Assist in supervising clinical research activities Foster collaborations with clinical partners Engage with the broader mental health community Support clinical validation studies Contribute to publications and presentations Qualifications Required Qualifications: Ph.D. in Clinical Psychology, Counseling Psychology, or related field Strong background in mental health intervention reserach Experience with digital mental health applications Knowledge of clinical assessment methods Publication record in relevant fields Excellent clinical research skills Strong project management abilities Superior written and verbal communication skills Experience with human subjects research Demonstrated ability to work in interdisciplinary teams Preferred Qualifications: Clinical license or license-eligible Experience with AI-enabled health interventions Background in college mental health Knowledge of crisis management protocols Experience with digital therapeutics Grant writing experience Familiarity with passive sensing applications Experience mentoring students Knowledge of HIPPA compliance Publication record in top-tier venues Application Instructions Please apply online using this link: https://apply.interfolio.com/166169 Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Apply Now