Flatiron Research Fellow, Genomics, Center for Computational Biology

Job Details

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 Genomics group.

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.

The Genomics group works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include developing deep learning approaches for genome interpretation; development of methods for multi-omic and spatial data analysis and integration with phenotypic and clinical data; and machine learning and AI approaches for network modeling and regulatory module detection. These and other methods are developed in tight collaboration with experimental biologists, biomedical scientists, and clinicians and are applied to specific biological problems, both fundamental and biomedical.

Position Description

Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, biophysics, computer science, engineering, applied mathematics, statistics, mathematical physics, engineering, 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.

Qualifications

Education

• Ph.D. in a relevant field (computational biology, computer science, biophysics, applied mathematics, statistics, mathematical physics, engineering, or related disciplines).

Related Skills & Other Requirements

• Demonstrated abilities in machine learning, scientific computation, scientific software and algorithm development, mathematical modeling, 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:

• Cover Letter, which should include a summary of applicants’ most significant contributions in graduate school;
• Curriculum Vitae with publications list and, if relevant, links to software ;
• 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;
• Letters of Recommendation, at least two (2).

Applications for available positions that begin in 2026 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 CCB 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 [email protected]. Queries about CCB may also be directed to scientific staff at CCB.