Hiring: Flatiron Research Fellow, Biophysical Modeling & Genomics, Center for Computational Biology Company: Simons Foundation Location: New York, NY Job Posted Time: 2026-09-10 10:24:32 Employment Type: Full-time / Hybrid Target Skills & Keywords : Deep Learning, Machine Learning About the job Required Skills: •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 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. •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. •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 Qualifications: •Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines) •Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis •Demonstrated capacity 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 •Demonstrated capacity to work well in an interdisciplinary environment, and to collaborate with experimentalists •Strong oral and written communication, data documentation, and presentation skills Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!