Postdoctoral Fellowship in Biostatistics

A postdoctoral fellowship position is available to perform research on innovative statistical methods with essential applications to medicine and health care involving clinical trials and observational studies. The fellowship is a two-year position with a possibility for a third year. The successful candidate will be appointed in The Dartmouth Institute for Health Policy and Clinical Practice and the Department of Biomedical Data Science and will be supervised by Dr. James O'Malley.

We have available a substantial amount of trial and observational data that has already been collected to inform the research. Potentially relevant statistical areas include modeling complex data structures such as hierarchical, longitudinal, and multi-membership data structures; network data, and causal inference. There will also be opportunities to collaborate with experts in shared decision-making, patient communication, health policy, medical sociology, and various other areas within medicine. The primary goal of the position is to conduct research leading to publications in high-ranking peer-reviewed journals.

Founded in 1797, the Geisel School of Medicine at Dartmouth draws on the resources of Dartmouth College and Dartmouth-Health Medical Center for broad interdisciplinary programs in biomedical research, education, patient care, and service. Located in rural New Hampshire on the Vermont border, the region uniquely offers idyllic landscapes and recreation, along with outstanding schools and cultural activities. As part of the beautiful New England community, Dartmouth is surrounded by mountains and waterways, and a myriad of four-season recreational opportunities and cultural offerings. Metropolitan areas like Boston, Montreal, and New York are within a few hours' drive. For more information on the Dartmouth Institute for Health Policy and Clinical Practice, go to: https://tdi.dartmouth.edu/, and about the Department of Biomedical Data Science, go to: https://geiselmed.dartmouth.edu/bmds/

A doctoral degree in biostatistics, statistics, or a related field, and be interested in innovative statistical methods research motivated by significant problems and current concerns in medicine and health care, particularly involving patients in challenging health states whose care requires coordination among multiple parties.

Applications should include a letter of intent, curriculum vitae, and names and contact information for three references.