Tenure-Track Faculty Position in Bioinformatics and computational Oncology

Employer
Geisel School of Medicine at Dartmouth
Location
Lebanon, New Hampshire
Salary
Undisclosed
Posted
September 12 2019
Ref
W-019174
Organization Type
Academia
Job Type
Faculty

Tenure-Track Faculty Position in Bioinformatics and computational Oncology

The Department of Biomedical Data Science, 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 Dartmouth’s genomics, 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, with membership in one of four research programs at NCCC.  Dartmouth faculty members benefit from highly collaborative and collegial interactions across campus, inclusive of departments at Geisel, the Dartmouth Faculty of Arts & Sciences, and the Thayer School of Engineering.

Successful applicants will develop vigorous and innovative research programs focused on computational data integration, single-cell analyses, systems biology, bioinformatics, genomics, or epigenomics 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.  Applicants with expertise in machine learning, artificial intelligence and biostatistics are strongly encouraged.  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.

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, and Program in Experimental & Molecular Medicine). Training grants (e.g., 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.

The successful candidate will have affiliation with NCCC (one of 50 NCI-designated Comprehensive Cancer Centers); opportunities for innovative research method development and application through Dartmouth’s high-performance computing resources (e.g., Discovery); access to Dartmouth’s Core Centers, Dartmouth’s Clinical and Translational Science Institute (named Synergy); and may benefit from 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, and Montreal QC are all within a few hours’ drive.

Dartmouth College is an Equal Opportunity/Affirmative Action Employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Applicants should upload a cover letter addressed to Dr. Brock C. Christensen search Chair, curriculum vitae, research statement, and a teaching statement to: http://apply.interfolio.com/61494 and ask three referees to provide letters of recommendation.

Screening of applications will begin September 15, 2019 and continue until the position is filled.

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