63 parallel-processing-bioinformatics "SciLifeLab " Postdoctoral positions at Yale University
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bioinformatics, and knowledge of the biomedical sciences in general. Eagerness and willingness to participate in and/or learn wet lab experimentation such as cell culture and biochemical/molecular biology
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Biology, Biochemistry or a related field. Strong record of creative and productive research (publications, presentations). Experience in molecular biology, RNA biochemistry, and bioinformatics is an
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predict molecular subtypes and therapeutic responses. These tools power a precision oncology framework that enables data-driven treatment selection. In parallel, we generate patient-derived 3D
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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, integrating multi-omics data, applying advanced data science approaches, and developing novel statistical methods. Preferred Qualifications Ph.D. in computational biology, bioinformatics, human genetics
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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly
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-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning
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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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. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should be curious
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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 should also be