Assistant, Associate, or Full Professor in Integrative Biology and Pharmacology
Join UTHealth Houston in tenure-track faculty positions leveraging multidisciplinary approaches, AI, and molecular design to advance biomedical research.
Best for:Best for experienced biomedical researchers and computational biologists with a strong track record in AI-driven molecular design or systems biology.
Overview
The Department of Integrative Biology and Pharmacology at McGovern Medical School, UTHealth Houston, is inviting applications for multiple tenure-track faculty positions across Assistant, Associate, and Full Professor ranks. The department seeks multidisciplinary researchers utilizing chemical, systems, and synthetic biology, with a particular focus on artificial intelligence, deep learning models, and advanced molecular design for biomedical applications and therapeutics. Successful candidates will establish a vibrant, extramurally funded research program and contribute actively to medical and graduate education. The position offers a highly interactive collaborative environment, generous institutional support, and access to state-of-the-art core imaging facilities within the Texas Medical Center.
What you'll do
- Develop and maintain an independent, internationally recognized research program supported by extramural funding.
- Apply multidisciplinary approaches, including artificial intelligence and deep learning, to study complex biological networks.
- Contribute actively to graduate and medical education and student mentoring.
- Collaborate with faculty across the department and the wider Texas Medical Center to advance therapeutic and diagnostic discoveries.
- Participate in departmental governance and institutional academic activities.
Requirements
Degree required: PhD in a relevant scientific or biomedical discipline
Language: English; professional proficiency
Instruction: English
Publications: A strong record of research accomplishments and peer-reviewed publications commensurate with the applied rank
- Demonstrated record of innovative research accomplishments in biology, pharmacology, or related fields
- Expertise in multidisciplinary research methodologies such as chemical, systems, or synthetic biology
- Experience or innovative plans for leveraging artificial intelligence and deep learning in biological discovery
- Strong publication record appropriate to the academic rank sought
Funding & terms
How to apply
Deadline: 2026-11-13 · open until filled
Submit a cover letter, full curriculum vitae, and a description of future research plans online under Job ID 260001E8. Ensure that at least three reference letters are sent separately via email or mail to the Faculty Search Committee.
- Cover letter
- CV
- Research statement
- 3 reference letters
Contact
Veronica Caldwell· Faculty Search Committee Contact
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