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Postdoctoral Position Computational Biophysics Jobs

The Pennsylvania State University

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

The Pennsylvania State University

$48K - $65K/yr

AND POSITION REQUIREMENTS: Postdoctoral Position working on single molecule imaging and gene ... You will use and develop the imaging and computational methods that to visualize dynamic molecule ...

Howard University

CZI Post Doctoral Fellow

Washington, DC · On-site

$60K - $70K/yr

Analysis of nucleic acid and protein biophysics, computational biology models, information ... Like other postdoctoral positions, the typical duration of a postdoctoral position in genomics and ...

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Postdoctoral Position Computational Biophysics information

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How much do postdoctoral position computational biophysics jobs pay per year?

As of Jul 11, 2026, the average yearly pay for postdoctoral position computational biophysics in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Computational Biophysics, and why are they important?

To thrive as a Postdoctoral Researcher in Computational Biophysics, a strong background in physics, chemistry, or biology along with a PhD and advanced computational modeling skills is essential. Expertise in programming languages (such as Python, C++, or MATLAB), molecular dynamics software (like GROMACS or AMBER), and high-performance computing platforms is typically required. Excellent problem-solving abilities, collaboration, and effective scientific communication are standout soft skills in this field. These skills enable researchers to design, execute, and communicate complex simulations that advance understanding of biological systems and drive scientific discovery.

What is a Postdoctoral Position in Computational Biophysics?

A Postdoctoral Position in Computational Biophysics is a temporary research role for individuals who have recently obtained a PhD in a related field. In this position, researchers use computational tools and theoretical models to study biological systems at the molecular or cellular level. The work often involves simulating biomolecules, analyzing large datasets, and developing new computational methods to understand biological processes. These positions are typically held at universities or research institutes and are designed to provide further training and experience before pursuing a permanent academic or industry role.

What are some typical challenges faced by postdoctoral researchers in computational biophysics, and how can they be addressed?

Postdoctoral researchers in computational biophysics often encounter challenges such as integrating complex biological data with advanced computational models, staying current with rapidly evolving software tools, and balancing independent research with collaborative projects. These challenges can be addressed by proactively seeking interdisciplinary collaborations, attending workshops to enhance technical skills, and regularly consulting with mentors and peers. Establishing efficient workflows and participating in lab meetings also helps in managing time and staying aligned with research goals.
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Postdoctoral Position Computational Biophysics jobs near you
Infographic showing various Postdoctoral Position Computational Biophysics job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Associate

Postdoctoral Research Associate

Northeastern University

Boston, MA • On-site

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

About the Opportunity
Job Summary:
The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, and Professor Lei Xie seek to hire a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple disease areas. Preference will be given to applicants with prior training in Computer Science, Computational Biology, Computational Chemistry, and Computational Biophysics.
Extensive training opportunities cover all aspects of the drug discovery process. The Postdoctoral Research Associate will receive professional development training, gain valuable networking experience, and collaborate with scientists in The Center for Drug Discovery, Bouve College of Health Sciences, and the Institute of Experiential AI. They will also have access to personnel support, including graduate and undergraduate students, who will assist in conducting research projects. Additionally, the research scientist will have the opportunity to lead manuscript and grant writing and submit publications as the primary author.
Minimum Qualifications:
  • Ph.D. in Chemistry, Computer Science or equivalent
  • In-depth knowledge and hands-on experience in MD simulation and molecular modeling
  • Experience in processing and analyzing protein structure and chemical genomics data
  • Familiar with use of high performance computing facilities
  • Ability to communicate with experimental chemists and biologists
  • Ability to develop research plans for executing strategy, data analysis/interpretation, and presentation of results
  • Ability to work effectively in a highly integrated team environment
  • Highly collaborative, self-motivated, and team-oriented individual
  • Excellent written and oral communication skills and demonstrated ability to write peer reviewed quality work or invention disclosures for patent applications, technical reports.
  • Consistent track record of accomplishments (e.g., peer-reviewed publications and/or patents).

Key Responsibilities & Accountabilities:
Algorithm Development, Data Analysis and Communication:
  • Effectively design, implement, and evaluate machine learning and computational methods
  • Work with medicinal chemists for drug discovery projects
  • Act as key member of a multidisciplinary drug discovery project team, assisting with development of project strategy, and analysis and communication of complex data
  • Manage internal and external resources to deliver quality data in an efficient manner
  • Maintain a broad awareness of the scientific and technological landscapes of Artificial intelligence, machine learning, omics data integration, systems biology, biophysics, and drug discovery and maintain knowledge of literature related to the areas of research pursued

Scientific writing:
  • Contribute to patent, report, grant, and scientific publication writing

Training:
  • Mentor and train junior team members

Other:
  • Foster a culture of scientific excellence, teamwork, and rigorous innovation

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108S
Expected Hiring Range:
$60,315.00 - $85,192.50
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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