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:
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
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
Responsibilities:
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
Responsibilities:
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
Responsibilities:
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
Qualifications:
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.