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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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, 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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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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, 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
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through peer-reviewed publications. Qualifications Candidates should possess: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Molecular Biology, or a related discipline. Strong
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conferences, and through peer-reviewed publications. Qualifications Candidates should possess: Ph.D., completed or expected, in Bioinformatics, Computer Science, Statistics, Computational Biology, Biomedical
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Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track