Responsibilities: This position includes duties related to data analytics within a computational-molecular-microbiology laboratory, including: --installation and maintenance of numerous open-source bioinformatic pipelines --script and pipeline development for custom WGS and metagenomic data analysis (including bioinformatics and statistics) --routine maintenance of the lab's dedicated high-performance server --establishment of data-related SOPs and protocols --establishment and/or maintenance of the lab's various data analysis accounts, including GitHub, Benchling, Wiki, etc…
Another major aspect of this position related to training, e.g.,: --hands-on training of laboratory personnel in WGS, shotgun metagenomic and 16S bioinformatic pipelines/methods --hands-on training of laboratory personnel in command-line interface, python/perl and R coding --creation and development of internally-facing, sustainable training modules in all above-listed areas
Effort: 50% of time will be spent on data analytics and related support activities 25% of time will be spent on writing (publications and grant applications) 25% of time will be spent on training of lab personnel
Required Qualifications: --PhD that included bioinformatic and statistical analysis of microbiome, metagenomic, and/or WGS data --Ability to develop custom scripts for advanced analysis of NGS data (in any language) --Strong knowledge of R --Experience navigating Linux-based servers through the command-line interface --Attention to detail and strong capacity for organization of tasks and workflows --Ability to work independently yet collaboratively --Strong work ethic with demonstrated productivity --Solid communication skills --Strong writing skills, as evidenced by first-author, peer-reviewed publications
Preferred Qualifications: --Previous experience with life sciences research in the areas of livestock production, veterinary medicine and/or microbial ecology --Previous experience with advanced molecular biological techniques --Previous experience writing successful grant and fellowship applications
Internal Number: 336391
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.