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Postdoc Computational Biophysics Jobs (NOW HIRING)

$55K - $74K/yr

Premila's research group ( at Saint Louis University invites applicants for a postdoctoral research associate position in computational biophysics. The successful candidate will lead project(s ...

POSITION SPECIFICS Postdoctoral Scholar (Biophysics) The National Synthesis Center for Emergence in ... Candidates should have experience developing, implementing, or applying analytical or computational ...

Employer Biophysical and Biomedical Measurement Group - NIST Location Gaithersburg, Maryland Job ... Develop physical, statistical, and computational models linking radiationchemistry, direct/indirect ...

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Postdoc Computational Biophysics information

What is a postdoc in computational biophysics?

A Postdoc in Computational Biophysics is a researcher who has completed their PhD and is engaged in advanced research applying computational methods to study biological systems. Their work typically involves using simulations, mathematical modeling, and data analysis to understand the physical principles governing biological molecules and processes. These postdoctoral researchers contribute to scientific knowledge, publish papers, and may mentor students while developing their expertise for future academic or industry positions.

What are some common challenges faced by postdocs in computational biophysics, and how can they be addressed?

Postdocs in computational biophysics often encounter challenges such as balancing independent research with collaborative projects, managing large datasets, and staying updated with rapidly evolving computational methods. Navigating interdisciplinary teams can require strong communication skills to bridge gaps between experimentalists and theorists. Time management and prioritizing research goals are essential, as is proactively seeking mentorship and networking opportunities to support career advancement. Engaging in regular team meetings and leveraging institutional resources can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a postdoc in computational biophysics, and why are they important?

To thrive as a Postdoc in Computational Biophysics, you need a strong background in physics, biology, and mathematics, typically supported by a PhD in a related field. Proficiency with molecular simulation packages (such as GROMACS, NAMD, or AMBER), coding (Python, C/C++), and experience with high-performance computing systems are essential. Strong problem-solving abilities, collaboration, and effective scientific communication help you excel in interdisciplinary research environments. These skills are vital for advancing scientific understanding and contributing innovative solutions to complex biophysical problems.
Infographic showing various Postdoc Computational Biophysics job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 66% Full Time, 28% Part Time, and 1% Contract. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Postdoctoral Scholar in Computational Biophysics

Merced, CA โ€ข On-site

Other

Posted 11 days ago


Job description

CHARMM is a versatile program for atomic-level simulation of
many-particle systems, particularly macromolecules of
biological interest. - M. Karplus

Postdoctoral Scholar in Computational Biophysics

Date

2026-10-01

Location

University of California, Merced

Description

The Dutagaci Lab at the University of California, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in biological systems. The Postdoctoral Scholar will conduct mentored research under the supervision of the PI and investigate transcription by studying the structure and dynamics of RNA polymerase to address mechanistic questions related to the roles of elongation factors and their connection to human diseases.

Responsibilities
  • Conduct research in computational biophysics related to the project, using standard and enhanced sampling molecular dynamics simulations and machine learning approaches.
  • Participate in manuscript preparation and dissemination of research findings through presentations at scientific conferences and publications in peerโ€‘reviewed journals.
  • Participate in professional development activities such as scientific conferences and meetings.
  • Assist in mentoring graduate and undergraduate students under the supervision of the PI at Dutagaci Lab.

The position is available immediately. The initial appointment is for two years, with the possibility of extension for up to a total of five years, contingent upon satisfactory performance and the availability of funding.

Qualifications
  • Basic qualifications:
    • Ph.D. in Chemistry, Biochemistry, Biology, Physics, or related fields.
    • Experience working in a Linux environment.
    • Experience in one or more programming languages such as Python, Perl, C, or Fortran.
    • Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM, NAMD, or GROMACS.
    • A record of peerโ€‘reviewed research publications.
  • Preferred qualifications:
    • Experience with machine learning and statistical analysis methods.
    • Graduateโ€‘level training in computational biophysics or physical chemistry.
    • Experience in biomolecular simulations.
How to Apply

Please complete the application posted on this website: https://aprecruit.ucmerced.edu/JPF02199

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