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Tenure-Track Faculty Position in Biomedical Data Science

Dartmouth College
United States, New Hampshire, Lebanon
Oct 25, 2025

Dartmouth College: Geisel School of Medicine: Department of Biomedical Data Science

Location

Lebanon, New Hampshire

Open Date

Oct 24, 2025


Description

The Department of Biomedical Data Science and the Center for Quantitative Biology in the Geisel School of Medicine at Dartmouth, invite applications for a tenure-track appointment at the rank of Assistant Professor as part of a targeted expansion of Dartmouth's Biomedical Data Science Faculty. The Department of Biomedical Data Science offers a dynamic and interactive environment, with a commitment to research excellence. The Center for Quantitative Biology is focused on developing methods and faculty expertise in single cell genomics at Dartmouth. Dartmouth faculty members benefit from highlt collaborative and collegial interactions across campus, inclusive of departments at Geisel, the Dartmouth Faculty of Arts & Sciences, the Dartmouth Cancer Center, and the Thayer School of Engineering.


A generous start-up package as well as access to state-of-the-art research facilities will be provided. Individuals will be given opportunities for mentorship and teaching in relevant PhD graduate programs (e.g. Program in Quantitative Biomedical Sciences, Program in Molecular and Cellular Biology). Training grants are available to support trainees.


Opportunities for innovative research methods development and application are facilitated through Dartmouth's high-performance computing resources (e.g., Discovery), access to Dartmouth's Shared Resources, and interactions with existing NIH Centers for Biomedical Research Excellence (COBREs) at Dartmouth.


Dartmouth is located in the picturesque Upper Connecticut River Valley on the New Hampshire and Vermont border, a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality of life in a beautiful, rural setting. Boston, MA; Burlington, VT; New York City, NY; New Haven, CT; and Montreal, QC are all within a few hours' drive.


Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives, and believes that diversity in all its forms enhances academic excellence. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all.


Qualifications

The successful applicant will develop a vigorous and innovative research program using bioinformatics, biomedical informatics, or biostatistics to explore within a wide range of biological or clinical questions in single-cell omics, spatial transcriptomics, genomics, epigenomics, and visualization of complex data. Applicants with expertise at the intersection of spatial transcriptomics, machine learning, artificial intelligence, computational biology, or biostatistics are strongly encouraged to apply. Candidates are expected to have a strong record of scholarship, to develop an independent research program, and to participate in graduate-level teaching. Evidence of an ability to secure extramural funding is desirable. Applicants should have a PhD, MD, or equivalent degree with relevant post-doctoral training.


Application Instructions

Applicants should upload a cover letter addressed to Professor Rob Frost, search committee Chair, along with a curriculum vitae, a research statement (one page or less), a teaching statement (500 words or less), diversity statement (500 words or less), and three letters of recommendation from referees to: https://apply.interfolio.com/176132.


Screening of applications will begin Nov 1, 2025 and continue until the position is filled.


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.
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