-
bioinformatics or R is strongly preferred. • Previous experience with ‘omics bench research (transcriptomics, genomics, proteomics or lipidomics). • Eagerness to learn and teach • Experience with manuscript and
-
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
-
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
-
diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development
-
: • 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