Research Assistant Professor/Non-Tenure-Track

Location
El Paso, Texas
Posted
Nov 20, 2018
Closes
Jan 19, 2019
Ref
15796BR
Hours
Full Time
Position Type
Permanent, Research
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Non-Tenure-Track Faculty Position in Population Health Sciences

The Department of Biomedical Sciences invites applications for a non-tenure-track research faculty position at the research assistant professor level. We seek individuals with Ph.D., M.D., M.D./Ph.D., or equivalent degrees with a record of accomplishment in population health research. Applicants must have completed a minimum of two years of post-doctoral or equivalent training in population health.

Ideal candidates should have scientific expertise and interest in one or more of the following areas: epidemiology, population genetics, cancer prevention and control, chronic disease management, health services, health disparities, behavioral sciences, or implementation and dissemination research.

Successful candidates will be expected to:

  • Contribute to the university’s mission
  • Develop and maintain rigorous research programs in population health
  • Participate in departmental activities
  • Teach and mentor students, fellows and other trainees

Recruited faculty will join an active research group in the Department of Biomedical Sciences supported by generous startup funds, a competitive salary, modern facilities and instrumentation, and administrative and infrastructure support.

Interested candidates should apply online at careers.texastech.edu and reference requisition 15796BR. For further information, potential applicants may inquire confidentially with Navkiran Shokar, M.A., M.P.H., M.D., professor of Family and Community Medicine and Biomedical Sciences, and director for Cancer Prevention and Control, at navkiran.shokar@ttuhsc.edu; or Peter Rotwein, M.D., vice president for research, at peter.rotwein@ttuhsc.edu or 915-215-4910.

Positions will remain open until filled. Applications will be reviewed immediately.

As an EEO/AA employer, the Texas Tech University System and its components will not discriminate in our employment practices based on an applicant’s race, ethnicity, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran

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