Flatiron Research Fellow, Biophysical Modeling


The primary mission of the Center for Computational Biology is to create new computational frameworks that will enable scientists to analyze the large and complex data sets that are being generated by new experimental technologies. Tremendous opportunities for discovery are emerging in the biological and biomedical sciences, as well as in traditional physical and social sciences, but they will require the combined power of theory, data analysis, and simulation. In the biomedical sciences, for example, researchers are being confronted by an explosion of information from genome sequencing, gene expression profiling, proteomics, multi-electrode recording, and multiple high-resolution imaging modalities. The focus remains on problems arising in biophysical modeling, development, genomics, neuroscience, and structural biology, collaborating closely with experimental colleagues.


Reporting to the Group Leader for Biophysical Modeling in the Flatiron Institute's Center for Computational Biology, the Flatiron Research Fellow will be responsible for the following: the development and application of numerical methods and mathematical models pertaining to phenomena in biophysics, cellular and nuclear biophysics, and collective behavior; coarse-graining for many-component systems; inference driven by multimodal experimental data and large-scale simulation; efficient and accurate simulation of partial differential equations in complex geometries and on surfaces, especially as applied to fluid-structure interactions; and developing a group-wide code-base for such applications.


Additional responsibilities include but are not limited to:

  • Working productively and collaboratively with other Biophysical Modeling group members, as well as with other groups within CCB and Flatiron.
  • Actively participating in the preparation of manuscripts for publication, and the presentation of research results at scientific conferences;
  • Assisting in peer- and student-mentorship; and,
  • Sharing expertise and providing training and guidance to group members as needed.


This position will be based, and have a principal office or workspace, at the foundation in New York City.




  • Ph.D. in applied mathematics, biostatistics, computational biology, computer science, engineering, physics, or related disciplines.



  • Exceptional abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, and data analysis;
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists;
  • Experience with Bayesian inference, network inference, and image analysis, is preferred;
  • Strong oral and written communication, data documentation, and presentation skills required;
  • Ability to handle multiple projects at the same time required; and,
  • Excellent collaborative and interpersonal skills required.

Required Application Materials

  • CV with bibliography
  • Research statement describing past important results and proposed research program


The Simons Foundation's Diversity Commitment


Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law.

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