JOB DESCRIPTION Chair - Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics (MSBMI) JOB SUMMARY: The Chair of the Department of Bioinformatics and Systems Medicine will provide visionary academic and scientific leadership for one of the nation's premier programs in AI-driven biomedical discovery. Reporting directly to the Dean, the Chair will lead approximately 15 faculty
members and will be responsible for advancing the Department's research, education, faculty development, and strategic growth. The Chair will cultivate an ambitious, collaborative, and innovation-focused culture that accelerates discoveries at the intersection of artificial intelligence, computational biology, genomics, systems medicine, and precision health. Working across the McWilliams School of Biomedical
Informatics, UTHealth Houston, the Texas Medical Center, and national and international partners, the Chair will expand interdisciplinary research programs, develop transformative collaborations, and enhance the Department's national and global reputation. The Chair will also play a central role in shaping the future of education in bioinformatics, systems medicine, and biomedical AI by strengthening existing
graduate programs and developing innovative curricula that prepare students for an AI-driven biomedical workforce. As a key member of the school’s leadership team, the Chair will work closely with the Dean to implement the school’s strategic vision of becoming a globally recognized AI-native institution for education, research, innovation, and societal impact. The successful candidate will recruit outstanding
faculty, expand externally funded research, foster translational partnerships across academia, healthcare, government, and industry, and position the Department as an international leader in AI-enabled biomedical science and precision medicine. The Department of Bioinformatics and Systems Medicine is at the forefront of the AI-driven transformation of biomedical discovery and precision health. The Department develops
and applies advanced artificial intelligence, computational biology, and data science to understand human biology across molecular, cellular, organ, and population scales. By integrating genomic, multi-omic, imaging, physiological, clinical, and real-world data, the Department creates next-generation computational approaches that accelerate scientific discovery, enable precision medicine, and transform healthcare.
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