The Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth (Geisel) seeks an outstanding individual to join our faculty within the Center for Technology and Behavioral Health (CTBH).
The Center for Technology and Behavioral Health (CTBH) is an interdisciplinary research group whose mission is to inform the optimal development, scientific evaluation, and sustainable implementation of digital therapeutics for behavioral health. CTBH is a designated “Center of Excellence” by the US National Institutes of Health (NIH).
The Geisel School of Medicine at Dartmouth College is located in the picturesque Upper Connecticut River Valley on the NH and VT border; a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality of life in a beautiful setting. Amenities associated with urban areas of Boston MA, Burlington VT, New York, NY, and Montreal QC are within close proximity.
The successful candidate will be pursuing a vigorous research program focused on the use of novel methodologies and/or data analytics in digital health as applied to behavioral health. This may include research in adaptive and/or personalized digital therapeutic interventions for health behavior change and/or development/refinement/application of analytic models for densely sampled intensive, longitudinal digital health data (including data captured via mobile devices and sensing technologies). Research focused on clinical effectiveness and/or implementation of digital health behavior-change interventions will also be considered. Research designed to understand mechanisms of behavior change with digital health interventions is also of interest, as are interventions focusing on addictive behaviors and/or cancer-causing behaviors.
Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. People with different backgrounds, life experiences, and perspectives make the Dartmouth community diverse, which enhances academic excellence. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to advance Dartmouth’s commitment to diversity in service of academic excellence.
A tenure-track faculty appointment will be provided in the Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth College commensurate with experience. Secondary appointments in other Geisel departments may be available. Candidates who currently hold or have experience commensurate with the rank of Assistant Professor are preferred.
Qualifications
Applicants for this position must have earned a PhD and/or MD (or equivalent), have formal advanced training in the fields described above, and should have a successful track record of peer-reviewed publications, in addition to demonstrating a history of extramural funding. Expectations for teaching and mentoring are a critical part of this role, and the successful candidate will be provided with such opportunities through membership in relevant PhD graduate programs (e.g., The Dartmouth Institute for Health Policy and Clinical Practice; Program in Quantitative Biomedical Sciences; Molecular and Cellular Biology). Training grants in relevant areas (e.g., Science of Co-occurring Disorders; the Burroughs Welcome training fund for Unifying Population and Laboratory-based Sciences) are available to support graduate trainees.
Application Instructions
Using Interfolio http://apply.interfolio.com/155624 applicants should submit a cover letter addressed to Chair of the Search Committee, Dr. Nicholas Jacobson, discussing the impact and importance of their research goals, and as well as how their teaching, research, service, and/or life experiences prepare them to advance Dartmouth’s commitments to diversity, equity, and inclusion. In addition, applicants should submit a curriculum vitae, a 2-3 paged description of their research interests and future research plans, and a statement on teaching interests. Applicants should also arrange for submission of 3 letters of recommendation through Interfolio. Review of applications will continue until the position is filled.