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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Postdoctoral
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Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Computer Science, Bioinformatics, or Biology, with a strong background in statistics and
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The primary focus will be developing computational models; simulation and analysis
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-throughput functional genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use of computational approaches to integrate and analyze this data to identify
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genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use of computational approaches to integrate and analyze this data to identify the molecular components
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). Participates in the Children’s Nutrition Research Center’s Postdoctoral Training Program. Performs other job-duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related
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organoids/spheroids and support in vivo therapeutic testing. Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs. Prepares
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languages such as R or Python, contributing to mechanistic insights and clinical relevance. Establishes and refines research protocols that integrate molecular biology and computational pipelines to support
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formats as appropriate). Analyzes and integrates multi-modal genomic datasets using computational approaches (with access to robust HPC resources). Evaluates data to plan subsequent stages of projects and
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include: Protein engineering Optical system development High-throughput screening Electrophysiology Computational approaches This position offers the opportunity to develop cutting-edge molecular