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with bioinformatics tools for genomic and transcriptomic analysis. Familiarity with gene expression studies (e.g., qPCR, RNA-seq). Demonstrated ability in scientific writing for publications and grant
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studies, documenting research data, identifying technical problems and proposing solutions, taking team science approaches, next-generation sequencing data analysis, bioinformatics and statistical analysis
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bioinformatics/omics (e.g., scRNA-seq, ATAC-seq) and AI-assisted data analysis in addition to familiarity with mitochondrial assays, live-cell imaging, or high-content/automated analysis Additional Information
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culture, expertise in phylogenetic analysis of large NGS datasets, and proficiency with relevant bioinformatic pipelines, statistical tools, and software is required. This experience could include graduate
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, proficiency in bioinformatics tools and programming languages (e.g., R, Python), excellent communication skills, and a strong record of peer-reviewed publications. This experience could include graduate level
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susceptibility testing. Experience with tissue culture assays and advanced bioinformatics, particularly microbiome and resistome analysis, is required. Strong scientific writing skills, experience in manuscript