Hiring: Flatiron Research Fellow, Genomics, Center for Computational Biology Company: Simons Foundation Location: New York, NY Job Posted Time: 2026-09-16 11:24:27 Employment Type: Full-time 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 Genomics group. •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. •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 •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: •Ph.D. in a relevant field (computational biology, computer science,  biophysics, applied mathematics, statistics, mathematical physics, engineering, or related disciplines) •Demonstrated abilities in machine learning, scientific computation, scientific software and algorithm development,  mathematical modeling, 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!