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collection, and analysis directed by scientific questions in the social and health sciences. The scope of the position is open. Potential projects include, but are not limited to: Improving data collection
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requires working collaboratively with a team of experimental and computational biologists focused on single-nucleus RNA-seq data analysis and “multi-omics” data integration with a main goal to identify
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combines human samples, mouse models, and in vitro culture system, and leverages single-cell technology, bioinformatic analysis, and mechanistic interrogations to revolutionize our understanding of gut
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biology, post-translational modifications, chemical biology, and proteomics. Develops proficiency in career skills, including writing, public speaking, networking, and critical evaluation of scientific
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peer-reviewed journals. Ability to guide research projects. Background in or desire to learn bioinformatics analysis techniques. Good interpersonal skills and willingness to mentor students and
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. Skills: Bioinformatics, Biomarkers, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux, Neurodegeneration, PLINK (Software), Python (Programming Language
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Bioinformatics, Computer Science, Data Analysis, Etiology, GATK, Genetic
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. Techniques include flow cytometry, immune cell transfers, cloning and molecular biology, biochemistry, cell/tissue culture, fluorescence and confocal microscopy, and analysis of RNAseq or other data sets