Assistant Professor in Biostatistics

The Dartmouth Institute for Health Policy and Clinical Practice at the Geisel School of Medicine at Dartmouth invites applications for tenure-track appointment at the rank of assistant professor as part of a targeted expansion of Dartmouth's biostatistics faculty. The Dartmouth Institute's mission is to improve public health, reduce disparities, and create high-performing health systems. This recruitment aims to expand Dartmouth's capability to perform research on innovative quantitative methods motivated by important problems in public health, health services, and health policy.

The successful candidate will pursue a vigorous and innovative research program on statistical methods or related methods and, over time, establish a track record of research via the application of these methods in public health, health services, or health policy. Applicants working in any relevant area of statistics, including causal inference, innovative clinical trials, machine learning, network analysis, and spatial statistics, with strong computing skills, are especially welcome. The successful applicant will be expected to lead a portfolio of independent, methods-advancing work, drawing on collaborative relationships with members of the Dartmouth community for health services or policy questions requiring innovative statistical design and analysis approaches. They will also be able to construct generalizable solutions that can be applied to future problems. A generous start-up package, as well as access to state-of-the-art research facilities, will be provided.

Teaching and mentoring are a critical part of this role. The successful candidate will be provided with opportunities to teach and mentor through relevant PhD and master's programs (e.g., those connected to the Program in Quantitative Biomedical Sciences or The Dartmouth Institute for Health Policy and Clinical Practice).

A primary faculty appointment will be provided at The Dartmouth Institute and a secondary appointment in the Department of Biomedical Data Science. A tertiary appointment in other Geisel Departments and/or adjunct appointments in Arts & Sciences and/or other professional schools (Thayer School of Engineering and Tuck School of Business) and affiliations with other Institutes or Centers will be considered upon request.

Dartmouth consistently ranks among the country's leading academic institutions. Home to a celebrated liberal arts curriculum and pioneering professional schools, Dartmouth has forged a singular identity, combining its deep commitment to outstanding undergraduate liberal arts and graduate education with distinguished research and scholarship. Dartmouth is in the neighboring towns of Hanover and Lebanon in the Upper Connecticut River Valley on the NH and VT border. The region is a vibrant, academic, and professional community offering excellent public schools, a lively arts scene, a rural setting with incredible natural beauty, and delicious local produce and artisanal foods. Boston, New York City, and Montreal are within a few hours' drive for those who enjoy cities.

Applicants for this position must have earned a PhD or equivalent degree in statistics, biostatistics, or a related discipline and indicate long-term success as an independent investigator, as evidenced by first-authored peer-reviewed publications or successful grant funding within the field.

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.

Applicants should upload a cover letter (addressed to the Chair of the Search Committee, Professor James O'Malley), along with a curriculum vitae (should not include journal impact factors), a research statement describing their research interests and future research plans (up to 3 pages), a statement of teaching philosophy (up to one page), and three letters of recommendation from referees.

Applications will be screened beginning on November 15, 2024, and continuing until the position is filled. The target start date for this position is September 1, 2025 (negotiable).

To apply: http://apply.interfolio.com/157418