Two postdoc positions in Machine Learning and Computational Biology are available in the Koo laboratory at the Simons Center for Quantitative Biology (SCQB) at Cold Spring Harbor Laboratory. We study the functional impact of genomic mutations through a computational lens using data-driven artificial intelligence (AI) solutions. We are broadly interested in applications for studying gene regulation and protein (dys)function. Our approach develops methods to interpret high-performing AI models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological mechanisms that underlie sequence-function relationships, with a broader aim of advancing precision medicine for complex diseases, including cancer. For more information, see: https://koolab.cshl.edu
Machine learning postdoc
Job description: The successful candidate will develop deep learning solutions to address cutting edge problems in regulatory genomics. Candidates with prior knowledge of computational biology or a machine learning background with a strong interest in transitioning into biological data space are encouraged to apply.
Qualifications: A PhD in Computer Science, Physics, (Applied) Math, Statistics, Bioinformatics, Engineering or other quantitative field is required. Machine learning experience is required, as is enthusiasm for biology or biomedicine. In-depth knowledge of one or more of the following is required: transformer networks, variational autoencoders, adversarial attacks/training, generative adversarial networks, and interpretability techniques for black-box models. Ideal candidates will be driven, have strong communication skills and a desire to work in an interdisciplinary environment. Prior experience with biological data is a plus, but not necessary. (Position Number: 02452-R)
Computational biology postdoc
Job description: The successful candidate will apply deep learning methods to address challenging biological problems that fall within the lab’s broad interests in gene regulation, alternative splicing, or RNA-protein interactions. Candidates with experience solving biological problems with computational methods are encouraged to apply. Prior experience with machine learning is a plus, but not necessary.
Qualifications: A PhD in Biology, Bioinformatics, Biophysics or other related field is required. The ideal candidate will be driven, have strong communication skills and a desire to work in an interdisciplinary environment. Experience with python programming is required. (Position Number: 02528-R)
Cold Spring Harbor Laboratory is a world-renowned research and educational institution recognized internationally for its excellence in fundamental areas, such as cancer, neuroscience, plant biology, genomics, and quantitative biology. The Laboratory has long been recognized as a place for nurturing young scientists, with postdoctoral researchers being an integral part of the discovery process. The Laboratory offers a warm, collegial, and collaborative work environment in a beautiful location about one hour from New York City.
To apply: Please send a cover letter with a brief statement of research interests, CV, and contact information for two references to koo[at]cshl.edu. We offer a competitive salary and comprehensive benefits program, including medical and dental insurance, and access to an affordable and licensed on-site childcare center. In addition, the CSHL Meetings and Courses program provides an opportunity for interacting with a broad range of researchers and exposure to timely advances in many areas of scientific research.
Job Type: Full-time