Careers

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 Structural and Molecular Biophysics group. The Structural and Molecular Biophysics team, a collaborative effort between CCB and the Center for Computational Mathematics (CCM) uses computational tools to study biological macromolecules, running long timescale molecular simulations and developing statistical analysis and machine learning tools to better capture the dynamics of these molecules and understand their biological function. Areas of interest include in particular statistical mechanics, membrane protein structural biology, protein modeling with flexibility, cryo-electron microscopy, thermodynamics, modeling the effect of mutations, and intrinsically disordered proteins. Applicants with backgrounds in mathematics, statistics, structural biology, computational chemistry, biochemistry, biophysics, or computer science are especially encouraged to apply. We are further interested in those with backgrounds in software development with skills related to methods development in cryo-EM or molecular dynamics simulation or machine learning in the context of computer vision and 3D reconstruction. Applications will be reviewed beginning in December 2024 and considered on a rolling basis until the positions are filled. For full consideration, applying by March 15, 2025 is recommended.

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 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. Applications will be reviewed beginning January 2025 and considered on a rolling basis until the position is filled.

The Center for Computational Biology is seeking an experienced software engineer to be the Project Lead for HumanBase (hb.flatironinstitute.org), a dynamic and interactive web-based platform that supports thousands of biomedical researchers in exploring the molecular mechanisms of human disease. This position is ideal for an experienced engineering leader with bioinformatics experience who thrives on solving complex problems at the intersection of large-scale data, advanced analytics, and scientific discovery. This is a high-impact role that directly advances the study of human genomics and disease.

The successful candidate will lead technical direction and execution, guide other software engineers, and collaborate closely with researchers at the Center for Computational Biology to translate cutting-edge computational biology into robust software tools. The Project Lead will be a hands-on engineering leader with experience in biological data and -omics technology, as well as a complementary skillset that includes both writing high-quality code and managing a small team of software engineers. Success in this role depends on the ability to translate biological questions into computational solutions, collaborate closely with internal scientific stakeholders, and drive technically rigorous projects that advance our understanding of human biology.