Research Assistant Professor - Pharmaceutical Health Outcomes and Policy

The University of Houston, College of Pharmacy invites qualified candidates to apply for a full-time, faculty position at the rank of Research Assistant Professor in the Center for Population Health Outcomes and Pharmacoepidemiology Education and Research Center (P-HOPER Center) and the Department of Pharmaceutical Health Outcomes and Policy (PHOP). The Mission of the P-HOPER Center is to conduct innovative population health outcomes research and offer educational programs and population practices with an impact on the region and the nation. The University of Houston (UH) is a Carnegie-designated Tier One public research university and a member institution of the world-renowned Texas Medical Center which houses major clinical and academic programs. 

Applications will be accepted until the position is filled, although an early application is recommended. Screening will begin immediately and continue until the position is filled. Salary will be commensurate with qualifications and experience. Interested individuals should electronically submit a cover letter describing his/her interest in the position, statement of research interest, curriculum vitae, and the names of three references with detailed contact information to the University of Houston Human Resources Website: https://uhs.taleo.net/careersection/

Any questions may be addressed to Dr. Hua Chen, Search Committee Chair,
Phone: (832) 842-8355, E-mail: [email protected]

 Additional information on the University is available at www.uh.edu   and on the Department at www.uh.edu/pharmacy/about-us/academic-depts/phop/
The University of Houston is an Affirmative Action/Equal Opportunity employer. Minorities, women, veterans, and persons with disabilities are encouraged to apply.

• Must hold an earned Ph.D. in Biostatistics or closely related disciplines with a strong quantitative background in biostatistics or econometrics.
• Applicants must have peer reviewed publications in statistical methods, econometric models, or other quantitative methods.  
• The successful candidate will be expected to contribute to ongoing research initiatives.