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Computational Biology Postdoc Jobs (NOW HIRING)

A postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ...

POSITION SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University (ncems.psu.edu ...

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How much do computational biology postdoc jobs pay per year?

As of Jul 27, 2026, the average yearly pay for computational biology postdoc in the United States is $70,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $79,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Biology Postdoc position, and why are they important?

To excel as a Computational Biology Postdoc, you need a strong background in biology, quantitative analysis, and programming, typically backed by a PhD in computational biology, bioinformatics, or a related field. Experience with bioinformatics tools, programming languages such as Python or R, and statistical analysis software is highly valued. Strong problem-solving abilities, effective communication, and the capacity to work both independently and in interdisciplinary teams are crucial soft skills. These qualifications enable postdocs to design and execute robust research, interpret complex biological data, and collaborate effectively on innovative scientific projects.

What is a Computational Biology Postdoc job?

A Computational Biology Postdoc is a research-focused position for recent Ph.D. graduates who use computational methods to analyze biological data. This role often involves developing algorithms, statistical models, or software to study genomics, proteomics, or other biological systems. Postdocs work under the supervision of a principal investigator, contributing to ongoing projects or initiating independent research. The position typically lasts 1-3 years and prepares researchers for academic, industry, or government careers.

What does a typical day look like for a Computational Biology Postdoc?

A typical day for a Computational Biology Postdoc involves analyzing large-scale biological datasets, developing or applying computational models, and interpreting results in collaboration with experimental scientists. Postdocs often participate in lab meetings, present findings, write manuscripts, and contribute to grant proposals. Collaboration with biologists, statisticians, and other computational researchers is common, fostering a dynamic and interdisciplinary work environment. Balancing independent research with teamwork enables postdocs to advance scientific projects while developing their own expertise and career trajectory.

More about Computational Biology Postdoc jobs
What cities are hiring for Computational Biology Postdoc jobs? Cities with the most Computational Biology Postdoc job openings:
What are the most commonly searched types of Computational Biology Postdoc jobs? The most popular types of Computational Biology Postdoc jobs are:
What states have the most Computational Biology Postdoc jobs? States with the most job openings for Computational Biology Postdoc jobs include:
Infographic showing various Computational Biology Postdoc job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $70,267 per year, or $33.8 per hour.

Flatiron Research Fellow, Biophysical Modeling & Genomics, Center for Computational Biology

Flatiron Institute

NY โ€ข On-site

Full-time

Posted 13 days ago


Job description

Description
The Center for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Biophysical Modeling and Genomics groups in 2026.
The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our website.
This joint position bridges two complementary efforts within CCB. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active materials, and aspects of collective behavior and self-organization in both natural systems (e.g., inside the cell) and synthetic ones. The Genomics group develops AL/ML methods to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease. Current areas of interest include developing foundation models for genome interpretation; creating methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and advancing AI-based frameworks for network modeling and regulatory module detection.
Together, these groups aim to develop integrative, hybrid models that combine deep learning for genome interpretation with mechanistic biophysical representations of its structure, dynamics, and regulation. Their joint work seeks to build theoretical and computational frameworks that link genome-scale regulatory models with quantitative, physics-based understanding of molecular and cellular organization. A key focus is on predictive modeling of how genetic variation alters the biophysical properties of neurons and the downstream phenotypic manifestations relevant to ASD and related conditions.
The uniqueness of this position lies in its explicitly interdisciplinary nature-offering the opportunity to work at the intersection of AI/ML genomic modeling and mechanistic biophysical modeling-and in its close integration with directed experimental investigations within the CCBx experimental network.
Strong applicants with backgrounds in applied and computational mathematics, biophysics, AI/machine learning, computational biology, computer science/engineering, statistical inference, or related fields are particularly encouraged to apply.
POSITION DESCRIPTION
Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.
Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful scientific computing resources.
Responsibilities include but are not limited to:
  • Performing theoretical and computational research
  • Developing, implementing and maintaining scientific software
  • Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
  • Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
  • Assisting in student mentorship
  • Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.
For more information about careers at the Flatiron Institute, please click here.
Qualifications
Education
  • Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements
  • Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
  • Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
  • Strong oral and written communication, data documentation, and presentation skills

COMPENSATION AND BENEFITS
  • The full-time annual compensation for this position is $91,000.
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Application Instructions
To apply, please submit the following via the application portal:
  1. Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
  2. Curriculum vitae with publications list and, if relevant, links to software
  3. Research statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
  4. Two (2) letters of recommendation

Applications for available positions that begin in 2025 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled.
SELECTION CRITERIA
Applications will be evaluated based on:
  • Past research accomplishments
  • The proposed research program
  • The synergy of applicant's expertise and research proposal topic with existing CCA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.