The D. Bradley McWilliams School of Biomedical Informatics (MSBMI) at UTHealth Houston invites applications for tenured or tenure-track, Associate Professor or Professor positions with a primary focus on Artificial Intelligence (AI) in the following departments: Department of Health Data Science and Artificial Intelligence Department of Clinical and Health Informatics Department of Bioinformatics and Systems Medicine The McWilliams School of Biomedical Informatics is the nation’s first school of biomedical informatics and a global leader in AI, data science, and health informatics.
Located in the Texas Medical Center —the largest medical complex in the world—the school collaborates closely with: UTHealth Houston schools and clinical enterprises Memorial Hermann Health System Harris Health University of Texas MD Anderson Cancer Center Other institutions in the Texas Medical Center UT System health institutions Faculty have access to large-scale clinical, imaging, and molecular datasets, as well as enterprise platforms supporting AI research, digital twins, and learning health systems.
The school is a central driver of institutional efforts to build an AI-native health science enterprise, integrating AI across research, education, and clinical care. UTHealth Houston is a comprehensive academic health science center and a leader in biomedical research, health education, and clinical care. With seven health schools and extensive clinical partnerships across the Texas Medical Center, UTHealth Houston provides an unparalleled environment for advancing AI-driven health innovation.
DEPARTMENT OF HEALTH DATA SCIENCE AND ARTIFICIAL INTELLIGENCE
Advanced AI methods, including deep learning and foundation models Large language models and generative AI for health and biomedicine Agentic AI Multimodal AI integrating text, imaging, and structured health data Scalable AI systems for large-scale biomedical data platforms AI methods for causal inference, prediction, and decision-making Teach graduate courses, as determined by the curriculum committees and the Dean Develop and participate in collaborative projects with all UTHealth Houston schools and other institutions across the Texas Medical Center, the state, the country, and the world Participate in committees at the school and university levels and contribute to the broader community Secure external funding for research initiatives DEPARTMENT OF CLINICAL AND HEALTH INFORMATICS
Implementation and evaluation of AI in clinical care and health systems AI-enabled clinical decision support and workflow transformation Human–AI collaboration and distributed cognition in healthcare AI for population health and health system redesign Responsible and trustworthy AI deployment in real-world settings Teach graduate courses, as determined by the curriculum committees and the Dean Develop and participate in collaborative projects with all UTHealth Houston schools and other institutions across the Texas Medical Center, the state, the country, and the world Participate in committees at the school and university levels and contribute to the broader community Secure external funding for research initiatives DEPARTMENT OF BIOINFORMATICS AND SYSTEMS MEDICINE
AI-driven analysis of genomics, proteomics, and multi-omics Systems biology and computational modeling Imaging AI Foundation models for molecular and cellular biology AI approaches to precision medicine and disease mechanisms Integration of molecular, imaging, and clinical data Teach graduate courses, as determined by the curriculum committees and the Dean Develop and participate in collaborative projects with all UTHealth Houston schools and other institutions across the Texas Medical Center, the state, the country, and the world Participate in committees at the school and university levels and contribute to the broader community Secure external funding for research initiatives
A PhD, MD, or equivalent doctoral degree An exceptional record of external funding and scholarship Demonstrated leadership or high potential in AI, biomedical informatics, or computational health science Commitment to interdisciplinary collaboration and graduate education Application Instructions: Applicants must submit the following: Curriculum Vitae Statement of Research Statement of Teaching and Mentorship Contact information for references Applications will be reviewed on a rolling basis until positions are filled.
Salary: Competitive and dependent upon qualifications and experience.