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Position Summary:
The Virginia Tech Department of Statistics (www.stat.vt.edu) invites applications for an associate or full professor of practice faculty position in biostatistics to begin in August 2018. Requirements include a Ph.D. in Biostatistics, Statistics, Biometry, Bioinformatics, Biomedical Informatics or a closely related field. The position is a 9-month appointment, with the opportunity to conduct additional extramurally funded research in the summer. Salary is competitive and commensurate with qualifications and experience.
The successful applicant will build and lead a collaborative biostatistics group to support medical/health research. He or she will develop and collaborate in transdisciplinary research with faculty and scientists from across campus, including the Virginia Tech Carilion Research Institute (http://research.vtc.vt.edu/), the Virginia Tech School of Medicine (http://medicine.vtc.vt.edu/), the Virginia-Maryland College of Veterinary Medicine (http://www.vetmed.vt.edu/) and the Virginia Tech Population Health Program (http://mph.vetmed.vt.edu/index.html).
Expectations for this position include providing effective mentoring for junior faculty, postdocs, and graduate students; teaching and advising a diverse population of undergraduate and graduate students; continuing development of professional capabilities and scholarly activities; curriculum development; participation in department, college, and university governance; and professional service. The faculty handbook (available at www.provost.vt.edu) provides a complete description of faculty responsibilities.

Required Qualifications:
Applicants must have a strong background in biostatistics; compelling promise for developing, or in the case of senior applicants continuing, a well-funded, internationally distinguished research program of methodological and collaborative research; demonstrated experience with and commitment to interdisciplinary and transdisciplinary research; a willingness to cross disciplinary boundaries to tackle complex scientific challenges; a desire to advise and teach a student body which is diverse with respect to socio-economic status, interests, and abilities; and commitment/sensitivity to address issues of diversity in the university community. Applicants must have earned a doctorate in a relevant discipline at the time of appointment

Preferred Qualifications:
Preference will be given to senior candidates with a distinguished record of biostatistical collaboration in a medical or health context, excellent teaching, and a demonstrated track record of leadership in the development of biostatistics educational and research programs.



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