Responsibilities: This position includes duties related to data analytics within a computational-molecular-microbiology laboratory, including: data analysis, interpretation and manuscript support for ongoing projects-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 is 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
Effort: 70% of time will be spent on data analytics and related activities 30% of time will be spent on training and support of lab personnel
This is currently a 100% FTE position, however if a desirable candidate is interested in a flexible working arrangement, a part-time position can be considered. The person hired can expect to work in a diverse, innovative, supportive, communicative and transparent environment. If candidate is interested in obtaining additional skills or advancing his/her/their career, candidate will be supported in these endeavors as much as possible. For more information about the lab, visit www.thenoyeslab.org.
All required qualifications must be documented on application materials.
Required Qualifications: BA/BA and 4 years of relevant experience or a Master's degree and 2 years of relevant experience Ability to develop custom scripts for advanced analysis of high-throughput sequence data (in any language(s)) 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
Preferred Qualifications: Experience specifically with microbiome, metagenomic or whole-genome sequence datasets Previous and/or current development and/or maintenance of open-source tools or code
Internal Number: 335378
About University of Minnesota, Twin Cities
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