Assistant Professor Faculty Position, Non-Tenure or Tenure Track - Center of Biomedical Semantics & Data Intelligence, School of Biomedical Informatics

Texas Medical Center-Houston, TX

Assistant Professor Faculty Position, Non-Tenure or Tenure Track - Center of Biomedical Semantics & Data Intelligence, School of Biomedical Informatics

Location: Texas Medical Center-Houston, Texas

Category: Faculty

UTHealth Houston School of Biomedical Informatics

Requisition #: 23000031

Center of Biomedical Semantics & Data Intelligence (BSDI)at theUTHealth Houston School of Biomedical Informatics (SBMI) seeks an exceptional candidate for tenure track or non-tenure track positions at the assistant professor level in artificial intelligence and data science in medicine.

UTHealth is in the world-renowned Texas Medical Center (TMC), located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI currently offers Ph.D. and Masters degrees; it also features certificate programs in biomedical and health informatics.


  • Plan, coordinate, and direct research in biomedical informatics, data/knowledge management, and big biomedical data analysis, as well as related areas.

  • Conduct collaborative research within the Center for Biomedical Semantics and Data and other faculty at school, across the university, the Texas Medical Center, and beyond.

  • Work closely with local and national researchers, physicians, and public health experts and conceive and conduct highly interdisciplinary research projects in biomedical informatics.

  • Lead research projects funded by the National Institutes of Health and other federal agencies, and provide solutions to the challenges of heterogeneity in healthcare knowledge discovery in the big data era, targeting major global health threats, such as drug repurposing, disease risk prediction, mental health, etc.

  • Develop cutting-edge biomedical informatics technologies for different applications.

  • Publish original research outcomes in premium peer-reviewed journals and present research efforts at international conferences and workshops.


This position is a full-time, 12-month appointment on the non-tenure track, renewable every year.


  • Doctoral degree in one of the following areas: computer science, biomedical informatics, mathematics, statistics, or a related discipline.

  • Experience in machine learning, data mining, and knowledge management, with the capability of transferring them into the medical informatics domain. Given the extremely high-volume and heterogeneity (mix of structured data, natural language, image) of biomedical data, candidate is required to integrate state-of-the-art computational algorithms, including but not limited to natural language processing (NLP), predictive modeling, ontologies, knowledge graph, deep neural network, to build high-throughput pipeline for the automated analysis of clinical and medical data.

  • Strong algorithmic development and programming skills.

  • Excellent teamwork and communication skills are required.

  • A track record of established independent research funding including NIH-funded grants (for the tenure track)

  • Commitment to excellence in teaching and advising graduate students.


Competitive and dependent upon qualifications and experience.

Applicants are required to provide a current curriculum vitae, research statement, names and contact information of three references, and a cover letter describing the applicants qualifications and career goals.

The University of Texas Health Science Center at Houston (UTHealth)

Established in 1972 by The University of Texas System Board of Regents, The University of Texas Health Science Center at Houston (UTHealth) is Houston’s Health University and Texas’ resource for health care education, innovation, scientific discovery and excellence in patient care. The most comprehensive academic health center in the UT System and the U.S. Gulf Coast region, UTHealth Houston is home to schools of biomedical informatics, biomedical sciences, dentistry, nursing and public health and the John P. and Kathrine G. McGovern Medical School. UTHealth Houston includes The University of Texas Harris County Psychiatric Center, as well as the growing clinical practices UT Physicians, UT Dentists and UT Health Services. The university’s primary teaching hospitals are Memorial Hermann-Texas Medical Center, Children’s Memorial Hermann Hospital and Harris Health Lyndon B. Johnson Hospital.

UTHealth Benefits

UTHealth Houston offers a comprehensive and competitive benefits package. For more information on our benefits programs please refer to the UTHealth Houston Office of Benefits Website.

Equal Employment Opportunity Statement

UTHealth Houston is committed to providing equal opportunity in all employment-related activities without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, genetic information, gender identity or expression, veteran status or any other basis prohibited by law or university policy. Reasonable accommodation, based on disability or religious observances, will be considered in accordance with applicable law and UTHealth Houston policy. The University maintains affirmative action programs with respect to women, minorities, individuals with disabilities, and eligible veterans in accordance with applicable law.

UTHealth Houston has adopted a policy consistent with CMS regulations to protect our patients and university community from exposure to COVID-19. This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.

In addition, all UTHealth Houston ​​​​​​​employees who are assigned to work at a location that is subject to the affiliated partner’s hospital, clinical offices, or agency are required to abide by UTHealth’s Houston rules and regulations, as well as the affiliate’s rules and regulations, including COVID-19 vaccination and safety requirements.

Work location is based on the needs of the department and may be adjusted.