University of North Texas
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Postdoctoral Research Associate in Computational Biology, Molecular Biophysics, and GPCR Therapeutics University of North Texas in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a funded postdoctoral research position. Salary is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.
Country
United States
University
University of North Texas

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About this position
Postdoctoral Research Associate opportunity in Dr. Yanxiao Han’s Computational Biology Laboratory at the University of North Texas. The position is centered on computational biology, molecular biophysics, GPCR signaling, cardiovascular and hormone signaling pathways, and therapeutic design.
The postdoctoral researcher will investigate G protein-coupled receptors using molecular dynamics simulations, enhanced sampling, kinetic modeling, structural analysis, and machine learning approaches. Research topics include molecular interactions involving norepinephrine and estrogen, their effects on signaling and cardiovascular function, and AI-driven design of peptides and proteins for therapeutic applications such as targeted peptide therapeutics and antimicrobial peptides.
Applicants should have a Ph.D. in biophysics, computational biology, chemistry, pharmacology, or a related field. Strong experience in molecular dynamics simulations and/or protein modeling is required, and experience with enhanced sampling, multiscale modeling, or kinetic modeling is highly desirable. The lab also values interest in translational research, mentoring experience, and strong communication skills. Preferred experience includes AI-driven computational biomedical methods and collaboration with wet-lab researchers.
The role is based at the University of North Texas, with job location listed as Denton, Texas, United States. It is a funded postdoctoral position with competitive compensation commensurate with qualifications and available funding. Applicants must submit at least two professional references and a research statement describing past and planned research.
Apply via the university careers portal using the job link provided in the posting.
Funding details
This is a funded postdoctoral research position. Salary is competitive and commensurate with the candidate’s qualifications, experience, and discipline, in accordance with university guidelines and available funding.
What's required
Applicants must hold a Ph.D. in biophysics, computational biology, chemistry, pharmacology, or a related field. Required experience includes a strong background in molecular dynamics simulations and/or protein modeling; experience with enhanced sampling methods, multiscale modeling, and/or kinetic modeling is highly desirable. Preference is given to candidates interested in translational applications such as peptide/protein therapeutics or cardiovascular drug development, with experience mentoring students in a collaborative research environment. Preferred qualifications include AI-driven methods in computational biomedical/biological research, collaboration with experimental wet-lab researchers, and strong communication skills.
How to apply
Apply through the university careers portal using the provided job link. Submit at least two professional references and include a research statement covering past research and future or planned projects. Follow the application instructions on the posting page.
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