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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
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diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development
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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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bioinformatics experience for gene expression and protein identification Outstanding communication skills and demonstrated expertise with writing and publishing in international peer-reviewed journals Preferred
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genetics and cell biology. Preferred Qualifications: • Experience with bioinformatics or R is strongly preferred. • Previous experience with ‘omics bench research (transcriptomics, genomics, proteomics