Assistant Professor Research Faculty in Biostatistics

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The University of Virginia (UVA) Department of Public Health Sciences (PHS) is currently seeking applications for an Assistant Professor of Biostatistics in the research faculty track in Biostatistics (tenure-ineligible). This applied biostatistics position will support the educational and team science research missions of the department. The successful candidate will be expected to lead numerous biostatistics education efforts in the department, including but not limited to teaching introductory biostatistics courses in PHS and School of Medicine (SOM) degree programs and providing dedicated research mentorship to PHS students, SOM residents and fellows, and junior faculty research trainees across UVA.

While education will be a major responsibility for this position, the successful candidate will also be expected to participate in collaborative research through PHS collaborative partnerships with SOM clinical departments, extramurally funded grants, and the relaunched clinical and translational infrastructure at UVA . The successful candidate must be motivated, independent and highly organized, with excellent written and verbal communication skills.

Finally, the successful applicant will have administrative and service responsibilities and be expected to participate in appropriate national and international organizations.

Minimum Requirements

• Education:
  
  Ph.D in biostatistics, statistics, or a public health discipline
• Teaching experience at the graduate level, specifically teaching statistics or biostatistics to clinical and/or basic science trainees.
• Collaborative biomedical/clinical research experience.
• A record of peer-reviewed publications in collaborative research, commensurate with rank.

Preferred Requirements

• Experience mentoring clinical and translational trainees.
• Experience in the design and execution of clinical trials, or the analysis of large observational databases (such as EPIC Cosmos).
• A record of peer-reviewed publications in collaborative research.
• Experience with extramural funding from NIH or similar funding agencies at co-I or equivalent level.

The selected candidate will undergo a background check and health screening.