Mar 28, 2019
The Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth (Geisel) seeks outstanding applicants for a tenure-track Assistant Professor to join our faculty within the Center for Technology and Behavioral Health (CTBH). Exceptional candidates at the rank of Associate Professor may also be considered. Dartmouth is an R1: Doctoral University – Highest Research Activity in the Carnegie Classification, and faculty members benefit from highly collaborative and collegial interactions across campus, inclusive of departments at the Geisel School of Medicine, the College of Arts & Sciences, the Thayer School of Engineering and the Tuck School of Business.
CTBH is an interdisciplinary research group whose mission is to inform the optimal development, systematic evaluation, and sustainable implementation of digital therapeutics for behavioral health and health-care delivery transformation. Successful candidates will be pursuing a vigorous research program focused on the use of novel methodologies, intervention development, data analytics and/or biostatistics in digital health. Research focused on patient/consumer engagement, clinical effectiveness, or implementation of digital health behavior-change interventions will also be considered. That may include research in adaptive digital therapeutic interventions for health behavior change; development/refinement of analytic models for intensive, longitudinal mobile health data; digital phenotyping; or biostatistical analysis of densely sampled longitudinal data. Research designed to understand mechanisms of behavior change with digital health interventions is also of interest, as are interventions focusing on addictive behaviors. The activities of the center are diverse and inter-disciplinary; hence, the call for outstanding candidates from a breadth of different disciplines spanning behavioral medicine to biostatistics.
Applicants should have a PhD, MD, or equivalent degree with relevant post-doctoral training. Formal advanced training in behavioral science, research methods, biostatistics, data science, biomedical informatics, bioinformatics or a related field is preferred. Applicants should also have a successful track record of peer-reviewed publications, and ideally a history of extramural funding. Expectations for teaching and mentoring are a critical part of this role, and individuals will be provided with such opportunities through membership in relevant PhD graduate programs (e.g., Program in Quantitative Biomedical Sciences ; Program in Experimental & Molecular Medicine , The Dartmouth Institute). Training grants in relevant areas (e.g., Science of Co-occurring Disorders , BD2K Predoctoral Training in Biomedical Big Data Science, the Burroughs Welcome training fund for Unifying Population and Laboratory-based Sciences) are available to support trainees in areas relevant to successful candidates.
For additional information and to apply:
Lebanon, NH, USA