Postdoctoral Researcher: Computational Biophysics & Therapeutics

University of North Texas - Denton; Denton (TX); On-site; USD 52,000 - 70,000; Full time

Job summary

The University of North Texas invites applications for a Postdoctoral Researcher in Dr. Yanxiao Han's Computational Biology Laboratory in Denton, TX. The position supports computational biology research focusing on GPCRs, molecular biophysics, and therapeutic design.

The successful candidate will use molecular dynamics, enhanced sampling, and machine learning to study signaling pathways and peptide therapeutics, mentoring students and contributing to publications.

Qualifications

• Ph.D. in biophysics, computational biology, chemistry, pharmacology, or a related field.
• Strong background in molecular dynamics simulations and/or protein modeling.
• Experience with enhanced sampling methods, multiscale modeling, and/or kinetic modeling is highly desirable.
• Interest in translational applications including peptide/protein therapeutics or cardiovascular drug development.
• Experience mentoring students in a collaborative research environment.

Responsibilities

• Conduct funded research or related research.
• Maintain lab workstations and servers.
• Write manuscripts for publications, abstracts for conferences and attend scientific meetings.
• Write proposals for research projects.
• Provide mentoring to undergraduates and graduates associated with the lab.

Skills

Molecular dynamics simulations

Protein modeling

Enhanced sampling

Kinetic modeling

AI-driven methods

Mentoring students

Strong communication

Education

Ph.D. in biophysics, computational biology, chemistry, pharmacology, or related field

Job description

The University of North Texas invites applications for a Postdoctoral Researcher in Dr. Yanxiao Han's Computational Biology Laboratory in Denton, TX. The position supports computational biology research focusing on GPCRs, molecular biophysics, and therapeutic design.

The successful candidate will use molecular dynamics, enhanced sampling, and machine learning to study signaling pathways and peptide therapeutics, mentoring students and contributing to publications.