Implementation of reproducible computational workflows (using snakemake, nextflow, etc.); Collaborative code development using Git and GitHub/GitLab; End-to-end processing (QC, preprocessing, processing, data analysis) of at least one of the following data types: metagenomics, metatranscriptomics, metaproteomics, metametabolomics, is considered an asset; Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure
Requirements:
A PhD in Bioinformatics, Computer Science, Machine Learning, Microbiology, Microbial Ecology or related disciplines; Solid experience in computer programming or scripting language commonly used in bioinformatics (Perl, Python, Java, R, etc.); Previous experience in bioinformatic analysis of mixed microbial communities or Systems Biology datasets will be considered assets; A good working knowledge of basic statistical concepts
Text:
Postdoctoral researcher in microbiomics - bioinformatics Implementation of reproducible computational workflows (using snakemake, nextflow, etc.); Collaborative code development using Git and GitHub/GitLab; End-to-end processing (QC, preprocessing, processing, data analysis) of at least one of the following data types: metagenomics, metatranscriptomics, metaproteomics, metametabolomics, is considered an asset; Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure A PhD in Bioinformatics, Computer Science, Machine Learning, Microbiology, Microbial Ecology or related disciplines; Solid experience in computer programming or scripting language commonly used in bioinformatics (Perl, Python, Java, R, etc.); Previous experience in bioinformatic analysis of mixed microbial communities or Systems Biology datasets will be considered assets; A good working knowledge of basic statistical concepts
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