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Postdoctoral Position Computational Biophysics Jobs

Swarthmore College

Postdoctoral Researcher

Swarthmore, PA · On-site

$65K - $71K/yr

We invite applications for a postdoctoral position in tissue biomechanics to work in the group of ... PhD in biophysics, quantitative biology, bioengineering or closely related field. * Demonstrated ...

The Pennsylvania State University

$48.20K - $65.40K/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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How much do postdoctoral position computational biophysics jobs pay per year?

As of May 31, 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 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.

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.
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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 May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories

Job description

Requisition Id 16217
Overview:
The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate.
This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems.
You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing resources and collaborating across ORNL, federal agencies, and academic partners.
Key Responsibilities:

  • Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
  • Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
  • Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
  • Optimize simulation codes and workflows for leadership-class HPC architectures
  • Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
  • Publish findings in high-impact journals and present at leading conferences
Required Qualifications:
  • Ph.D. (within 0-5 years) in computational bioscience, computational biophysics, computer science, or a related field
  • Strong programming skills in C++, Python, or similar scientific computing languages
  • Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
  • Experience working on high-performance computing (HPC) systems
  • Demonstrated ability to conduct independent research with a good publication record
  • Excellent written and verbal communication skills for interdisciplinary collaboration
  • Commitment to ORNL's core values: Impact, Integrity, Teamwork, Safety, and Service
Preferred Qualifications:
  • Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
  • Experience improving performance and scalability of simulation workflows via:
    • Parallelization and performance engineering
    • GPU/accelerator optimization
    • Algorithmic innovation
  • Experience applying machine learning or AI to molecular simulation, including:
    • Surrogate models or learned potentials
    • Generative models for biomolecular design
    • Representation learning for biomolecular systems
  • Familiarity with protein-protein interaction (PPI) networks, signaling pathways, or systems biology models (bioinformatics tools and models)
  • Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs

Special Requirements:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

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