The Department of Biology at Tufts University is seeking a tenure-track assistant professor in Computational Biology within the fields of bioinformatics and comparative genomics for September 2020.
We seek candidates who will maintain vigorous research programs with an emphasis on the analysis of diverse organisms (including non-model species) to study fundamental problems in biology. The successful applicant will have broad interests in applying bioinformatics tools to problems relevant to multiple levels of biological organization (molecular, population, species, etc.). This assistant professor will be expected to develop and implement novel approaches for analyzing large-scale genomic datasets, potentially combined with other large-scale data sources (e.g., geospatial, developmental, metabolomic).
Preference will be given to candidates who complement and build on existing departmental strengths in evolutionary genetics, population ecology, as well as development and molecular genetics. The person who holds this position will also have an affiliation with an interdisciplinary center dedicated to data-intensive research and pedagogy across Tufts, the Data Intensive Studies Center (DISC). Instructional duties will include teaching an undergraduate Computational Genomics/Bioinformatics laboratory course, an advanced graduate seminar course in their area of expertise, and research training of undergraduate and graduate students.
A doctoral degree in an appropriate field, postdoctoral experience, and a record of excellence in research are required. An ability to engage with diverse students with different pedagogies and a clear commitment to teaching excellence at the undergraduate and graduate levels are essential. The successful candidate will demonstrate strong potential for extramural funding and the ability to mentor research students at the graduate and undergraduate levels.
All applications are submitted via Interfolio, at http://apply.interfolio.com/67115.
Minimum application materials include: 1) cover letter, 2) CV, 3) teaching statement, 4) research statement, 5) names and contact information of three to five references.
Submission of up to three select reprints in pdf format is encouraged, but not required. Both references and reprints may be uploaded as Additional Documents. Letters of recommendation from references will be requested from selected applicants.
Questions about the position can be directed to Geneva Frank (Geneva.Frank@tufts.edu), staff assistant to the chair and faculty.
Review of applications begins November 1, 2019, and continues until the position is filled.
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