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involve conducting bioinformatic analyses of existing RNA-sequencing and whole-genome DNA methylation datasets from wild and hatchery fish populations. Depending on securing additional funding, there may
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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computing. Preferred Qualifications Prior experience in bioinformatics or computational biology Experience with one or more of the following: Single-cell or spatial omics analysis DNA Methylation analysis
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. Essential Duties and Responsibilities Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data. Develop and implement state
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consequences of DNA methylation on risk for depression in adolescence and young adulthood. Projects aim to integrate longitudinal data with insights from genetics, epigenetics, and human development to identify
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epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent. Previous experience analyzing large DNA methylation datasets, bioinformatics, and use
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, or innate immunity. Experience with epigenetic assays (ChIP, DNA methylation) or RNA-seq workflows. Experience working in BSL-2 or higher environments. Experience with poultry handling, sampling
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: (1) epigenetic analysis in a mouse models of Parkinson’s disease related exposures, (2) elucidating molecular mechanisms of pesticide-induced changes in DNA methylation in a 3D neurosphere model in
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, and close collaboration with experimental and clinical teams. Primary Responsibilities · Lead computational analysis of large-scale multi-omics datasets, including transcriptomic, epigenomic (DNA
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Our lab recently developed a new methylation profiling technology, FLEXseq (PMID: 39651174