Job Opportunities

Assistant Professor (tenure-track) in Health Data Analytics

By Jo Ann Jones | Date: October 10, 2017

Bookmark and Share

The Kinesiology, Health and Nutrition Department at The University of Texas at San Antonio invites applications for a tenure-track Assistant Professor of Health Data Analytics with the ideal applicant having content knowledge in community or public health research and practice. The Department in partnership with other academic units at UTSA is committed to advancing public health by the collection, coordination, and analysis of large, complex data sets and building predictive models leading to informed health policies and practices.

The University of Texas at San Antonio is situated in a vibrant and growing community, serving a diverse, multicultural population that is reflected in our student population. While continuing its tradition of excellence in teaching, research, and community service, UTSA is rapidly moving toward classification as a doctoral/research intensive institution.

Responsibilities include teaching both undergraduate and graduate courses in database management, data analysis, and research methods; conducting research in health data analytics and applied statistics in collaboration with current faculty, pursuing external funding, participating in curriculum development, and performing university and community related services.

Specific skills of a successful applicant include some or all of the following: (1) design data management solutions for diseases or risk factor management, (2) conduct systems-science based health policy research alongside key stakeholders, (3) experience using large databases to profile care processes and health outcomes, (4) developing and testing technologies with public health applications, and/or (5) interpreting data and results in the context of public health intervention design.

Required qualifications: 1) an earned doctorate in Biostatistics, Public Health or related field (ABD will be considered with anticipated graduation by August 15, 2018); 2) ability to teach undergraduate and graduate courses in data management, data analytics, and research methods with an emphasis on public health applications; and 3) demonstration of a focused research agenda in public health data analytics.

Preferred qualifications include 1) Expertise in study design in public health research; 2) experience with undergraduate and/or graduate student mentoring; 3) research experience in public health using cutting-edge quantitative methods; 4) experience of conducting funded research; and 5) ability to conduct collaborative research with current faculty. 

All applicants must submit online 1) a letter of application; 2) a current curriculum vita;  3) unofficial transcript for terminal degree; 4) names, phone numbers and e-mail addresses of three professional references; 5) one-page description of research agenda and plan. Applicants are encouraged to submit one or two representative research publications although this is not required. The committee may solicit additional references or other supporting materials. The review process begins October 15, 2017, and will continue until the position is filled. Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by the time of hire. Salary is competitive and commensurate with experience and background. Summer employment is contingent on student demand and funding. The position will begin in the Fall 2018, pending budget approval.

Applications should be submitted through the online hiring system ( Inquiries on the position should be directed to Dr. Zenong Yin at The UTSA is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans, and individuals with disabilities are encouraged to apply. 


Upcoming Events

Basic concepts in the experimental analysis of behavior

Tuesday, January 23

TIME: 4:00 p.m.

LOC: DT Campus

BLDG: Frio Street Building, room 1.406

Dr. Martin Luther King, Jr. Lecture Series

Wednesday, January 24, 2018

TIME: 11:00 a.m. - 12:30 p.m.

LOC: Main Campus

BLDG: University Center, Retama Auditorium 2.02.02

Being a researcher in Mexico: Some of my experience

Thursday, January 25

TIME: 4:00 p.m.

LOC: DT Campus

BLDG: Frio Street Building, Room 3.530

All Events