The Geisel School of Medicine at Dartmouth and the Norris Cotton Cancer Center (NCCC) invite applications for a tenure-track appointment at the rank of Assistant or Associate Professor as part of a targeted expansion of bioinformatics and computational oncology faculty. NCCC offers a dynamic and interactive environment, with a commitment to research excellence. Faculty appointment will be in the department of Biomedical Data Science or Molecular and Systems Biology, and will include membership in one of the six research programs at NCCC. Dartmouth faculty members benefit from highly collaborative and collegial interactions across campus, inclusive of departments at Geisel, Arts & Sciences, the Thayer School of Engineering, and Dartmouth-Hitchcock Medical Center.
Successful applicants will have vigorous and innovative research programs focused on computational systems biology, bioinformatics, computational biology and biophysics, genomics, epigenomics or single-cell analyses to study and understand complex aspects of cancer biology, including but not limited to, cell growth and proliferation, cell signaling, gene expression and genome organization, metastasis, drug resistance, tumor microenvironment, and cell-cell communication. 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 the ability to secure extramural funding is desirable. Applicants should have a PhD, MD, or equivalent degree with relevant post-doctoral training.
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 of students in relevant PhD graduate programs (e.g., Program in Molecular and Cellular Biology, Program in Quantitative Biomedical Sciences, and the Program in Experimental & Molecular Medicine). Training grants (e.g. the Molecular and Cellular Biology Training Grant, the Burroughs Wellcome Fund Big Data in the Life Sciences for Unifying Population and Laboratory-based Sciences Training Grant, and the Quantitative Biomedical Sciences Training Grant) are available to support trainees in areas relevant to the successful candidate.
The successful candidate will have affiliations at NCCC (one of 49 NCI-designated Comprehensive Cancer Centers); opportunities for innovative research method development and application through Dartmouth’s supercomputing networks (e.g., Discovery); access to Dartmouth’s Core Centers, Dartmouth’s Clinical and Translational Science Institute (CTSA; called Synergy); and may benefit from interactions with existing NIH Centers for Biomedical Research Excellence (COBREs) at Dartmouth.
Applicants should upload a cover letter, curriculum vitae and research statement to: apply.interfolio.com/48757, and arrange for three letters of recommendation to be submitted directly to Interfolio.
Screening of applications will begin February 19 and continue until the position is filled.
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. Amenities associated with urban areas in Boston MA, Burlington VT, and Montreal QC are all within a few hours drive.
Successful applicants will have vigorous and innovative research programs focused on computational systems biology, bioinformatics, computational biology and biophysics, genomics, epigenomics or single-cell analyses to study and understand complex aspects of cancer biology, including but not limited to, cell growth and proliferation, cell signaling, gene expression and genome organization, metastasis, drug resistance, tumor microenvironment, and cell-cell communication. 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 the ability to secure extramural funding is desirable. Applicants should have a PhD, MD, or equivalent degree with relevant post-doctoral training.
Applicants should upload a cover letter, curriculum vitae and research statement to: apply.interfolio.com/48757, and arrange for three letters of recommendation to be submitted directly to Interfolio.
Screening of applications will begin February 19 and continue until the position is filled.