Flatiron Research Fellow - Statistical Biophysics, Center Computational Biology

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 Statistical Biophysics Group
. The start date is flexible, with the Fellow expected to begin no later than September 2027. Applications will be reviewed beginning in Fall 2026 and considered on a rolling basis until the positions are filled.

CCB has a twofold mission: to develop the rigorous modeling tools and theory needed for understanding biological processes, and to create computational frameworks that will facilitate the analysis of the large, complex data sets being generated by quantitative experimental technologies. To accomplish this, CCB brings together experts in various biological domains (including genomics, molecular, cellular, and developmental biology) whose approaches are informed by the modern computational tools of applied mathematics, statistical inference, artificial intelligence/machine learning (AI/ML), biophysics, and computer science.

The goal: to enable CCB to undertake ambitious, long-term research projects that transcend conventional disciplinary boundaries and that lead to a quantitative and predictive understanding of biological phenomena; and to develop high-quality, well-tested, versatile and extensible software across its research areas.

CCB currently comprises more than 50 scientists at career stages from Ph.Ds through senior scientists, as well as visiting scientists and guest researchers, affiliated graduate students and interns. Together, the CCB scientific staff are pioneering an approach to biology in which theory,computation, and experimentation are integrated, from problem conceptualization onwards. This approach enables CCB to tackle not only recognized, fundamental problems in biology that have so far eluded solution, but also, because of the value placed on curiosity-driven research, to find and develop new areas of biological inquiry.

The Statistical Biophysics Group seeks to understand fundamental biological phenomena using tools and concepts from physics, particularly statistical biophysics and stochastic dynamical systems theory. It currently focuses on dynamics and statistical properties of information processing networks, encompassing biochemical networks in cells, neural circuits in the brain and modern artificial neural networks (ANNs) used in machine learning.

Key research directions include dynamics of biological systems (investigating the dynamics of biochemical networks involved in signal transduction, adaptation and synchronization, as well as neural networks responsible for encoding, computation and learning), inference of biological networks (reverse engineering the underlying biochemical networks (structure and dynamics) of functional biological networks from experimental data based on machine learning methods), energetic costs of information processing (exploring how physical constraints on energy dissipation shape molecular mechanisms in biology and guide the design of efficient learning algorithms), and statistical physics of deep learning (understanding the mechanisms behind how ANNs learn and generalize and comparing these processes to learning and computation in real neural systems).

This research is carried out in collaboration with the Center for Computational Neuroscience , whose research focus on information processing in biological networks emphasizes biological and artificial neural networks.

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.

Reporting to the Group Lead, 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…