(MSBMI).
RESPONSIBILITIES:
As a successful candidate, you will apply your chemistry and structure biology skills to play a pivotal role in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development for protein structure prediction projects. Your responsibilities will extend to collaborative research with esteemed faculty at UTHealth and other institutions, fostering a dynamic and interdisciplinary approach to AI and data science.
DSICCR is renowned for its productive track record in data science, informatics, and AI (https://sbmi.uth.edu/dsiccr/outcomes). Past postdoctoral fellows have made significant contributions to high-impact publications and played key roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018), Nature Communications (Yuan, et al., 12, 2031, doi:10.1038/s41467-021-22200-5, 2021), and Nucleic Acid Research (Yang, et al., 53(D1):D331-D339, 2025, PMID: 39530217)
As a member of our research community, you will benefit from comprehensive training in AI research and gain hands-on experience with DSICCR's advanced computing infrastructure (https://sbmi.uth.edu/dsiccr/resources). This includes access to a Hadoop cluster, a large memory server, several state-of-the-art Nvidia GPU servers (including the world's first Nvidia DGX H100 server), and High-Performance Computing (HPC) clusters at the Texas Advanced Computing Center.
Located in the heart of the Texas Medical Center in Houston, the fourth largest city in the United States, UTHealth offers a cosmopolitan setting for your academic and professional growth. Join us in our commitment to advancing the frontier of AI and data science applied to basic research and clinical practice. We look forward to welcoming an enthusiastic and dedicated postdoctoral fellow to contribute to our collaborative and innovative research environment.
APPOINTMENTS/BENEFITS:
This is a full-time, 12-month appointment, renewable annually with comprehensive benefits. Anticipated postdoctoral training duration is 2-3 years with multiple fellowship support opportunities.
QUALIFICATIONS:
The energetic and proactive individual should have a strong background and formal training in chemistry, structural biology, and small-molecule drug screening and development. Essential qualifications include solid experience in protein structure and related data analysis, with a proven record of published research. Hands-on experience with experimental structural methods such as cryo-EM, X-ray crystallography, or NMR along with the detailed understanding of protein secondary and tertiary structure behavior that comes from working in such an environment is strongly preferred. Programming skills is required and additional expertise in bioinformatics and quantitative and analytical science are a plus. Excellent teamwork, communication skills, and the ability to develop and maintain high-quality collaborations are required.
HOW TO APPLY:
Note that all application materials must be submitted to https://careers.uth.tmc.edu/us/en/job/260001GW. The candidate should provide a current curriculum vitae and a cover letter describing qualifications and career goals as part of the application process.
SALARY:
Comply with NIH postdoc salary standards based on the qualifications and experience.
Equal Opportunity Employer/Disability/Veteran
