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The Barak and Gunel Laboratories in the Department of Neurosurgery at Yale School of Medicine are seeking a postdoctoral fellow with a strong bioinformatics background to lead the computational
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subject to satisfactory performance and available funding. Information on compensation and benefits for postdoctoral appointments can be found at https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale
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genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds
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program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
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genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, social sciences, public policy, or a relevant interdisciplinary area. Interest in
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laboratory (http://www.garglab.org ) uses approaches from genomics, molecular biology, systems biology, and data science to understand cellular heterogeneity. We want to understand how cell systems with
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-throughput functional genomics, and/or computational biology. Candidates should be highly collegial, hard-working, reliable, and curious, with a strong professional track record and excellent written and oral
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will lead independent projects in a supportive, high-energy environment and work alongside an interdisciplinary team spanning experimental tumor immunology, computational biology, functional genomics