Assistant Professor in Bioinformatics and Computational Genomics - Human Genetics

University of Texas Rio Grande Valley•Brownsville, TX

31d•Onsite

About The Position

We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's student body as an Assistant Professor in the Department of Human Genetics beginning in the 2026-2027 academic year. We are seeking an Assistant Professor of Human Genetics (Tenure Track) with expertise in the areas of bioinformatics and computational genomics. The successful candidate should have research interests in multiomics that align with the Department's ongoing human population studies of risk for complex disease. The successful applicant will have postdoctoral experience and publications in human genetics. The successful candidate will conduct research in bioinformatics and computational genomics, teach at the doctoral level, and mentor graduate students in the Ph.D. program in Human Genetics. The successful candidate is expected to develop a competitively funded research program involving both independent and collaborative research projects, and to take part in our Human Genetics Ph.D. program, our Center of Human Genetics, and numerous ongoing genomics research projects. The position will provide the expertise needed for efficient processing and analysis of genomic, proteomics, epigenomics, and other large-scale high-dimensional omic data. The position will quickly integrate with ongoing collaborative research programs and additionally will develop independent funding in the area of omic bioinformatics, human systems biology, computational genetics, and big data analysis. This position will be based at our site in Brownsville, Texas. About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well-being. The University of Texas Rio Grande Valley (UTRGV) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service. Drawing on our unique identity as the leading Hispanic-Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building from strength in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high-quality and affordable healthcare, and fostering authentic community engagement and integration. UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top 3 universities with the highest percentage of Hispanic students. For additional information, please visit UTRGV website. Department/College Background The South Texas Diabetes and Obesity Institute (STDOI) was established on October 13, 2014, to be a focus for world-class biomedical research programs at the newly established UTRGV School of Medicine. In 2017, the Department of Human Genetics was formed by the STDOI core faculty, through the authority of the UT System Board of Regents. In September 2025, the Department and Institute transitioned from the School of Medicine to the College of Sciences. With diverse research efforts in the areas of diabetes, obesity, heart disease, ocular health, psychiatric disease, osteoporosis, and infectious diseases of border health relevance such as Chagas disease and tuberculosis, Human Genetics and the STDOI are working to address the most critical public health problems of the South Texas region. The Department and Institute have state-of-the-art laboratories and genetic research capabilities, including a 12,000-processor computer cluster dedicated to genetic analysis, a biorepository containing tens of thousands of samples collected in the STDOI's numerous studies of complex disease, and a colony of the unique animal model Monodelphis domestica. The Department of Human Genetics at UTRGV focuses on the study of basic principles of genetics and genomics as applied to human disease. Using both experimental models and population-based approaches, the Department has ongoing programs of research in experimental genomics, statistical and population-based genetics, bioinformatics, and translational research. A large portion of the Department's research is conducted through the STDOI, a comprehensive interdisciplinary Institute now housed within the UTRGV College of Sciences, which has generated substantial extramural funding for many years. The Department is home to a PhD program in Human Genetics; the PhD program commenced in in the Fall 2022 academic year and recruits up to seven students per year to the program. For more information, please visit https://www.utrgv.edu/cos/schools-and-departments/human-genetics/index.htm and South Texas Diabetes and Obesity Institute | UTRGV.

Requirements

Doctoral degree in genetics, biological anthropology, biology, computer science, data science, or other relevant discipline.
Two years of postdoctoral research experience.
Expertise in Bioinformatics and Computational Genomics.

Responsibilities

Conduct research in bioinformatics and computational genomics
Teach at the doctoral level
Mentor graduate students in the Ph.D. program in Human Genetics
Develop a competitively funded research program involving both independent and collaborative research projects
Take part in our Human Genetics Ph.D. program, our Center of Human Genetics, and numerous ongoing genomics research projects
Provide the expertise needed for efficient processing and analysis of genomic, proteomics, epigenomics, and other large-scale high-dimensional omic data
Develop independent funding in the area of omic bioinformatics, human systems biology, computational genetics, and big data analysis

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