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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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genomics, multiomic integration, statistical modeling, or machine learning is desirable but not required. Candidates from computational biology, bioinformatics, computer science, statistics, applied
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, or computational analysis (e.g., R, Python, UNIX, bioinformatic pipelines) is highly desirable. Candidates should have a strong publication record, excellent communication and organizational skills, and the drive
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“drylab” techniques. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should
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, bioinformatics, computer science, statistics, applied mathematics, physics, bioengineering, immunology, or related fields are encouraged to apply. The position offers opportunities to publish methodological and
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field. Strong record of creative and productive research (publications, presentations). Experience in molecular biology, RNA biochemistry, and bioinformatics is an asset. Interest in participating in
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genetics, immunology, computational biology, systems biology, neuroscience, bioinformatics, or a related field Strong background in either wet-lab experimental biology or computational/statistical genetics
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, retinal diseases, and vision science. Training opportunities may include imaging analysis, bioinformatics, statistical analysis, and grant and manuscript development. The specific training plan will be
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human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis, and comfort with bioinformatics. This is highly collaborative work, so the candidate
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Congress Avenue, New Haven, CT Qualifications We’re looking for someone with a PhD, MD, or MD/PhD (or related field such as genetics, immunology, computational biology, systems biology, or bioinformatics