The University of Minnesota Supercomputing Institute (MSI; https://www.msi.umn.edu/) seeks to hire a full time bioinformatics analyst to support biological mass spectrometry research at the University of Minnesota. The successful applicant will join the Research Informatics Solutions (RIS) team. The RIS team fosters cutting edge collaboration between bioinformatics analysts and life sciences researchers and leverages the rich computational and knowledge environment offered by MSI and the University.
The RIS team is composed of nine PhD level informatics analysts Successful candidates will have excellent communication skills, a strong analytical/computational background combined with demonstrated life sciences analyses experience, be highly organized, and comfortable working as part of an interdisciplinary research team on a diverse set of projects. RIS analysts are frequently expected to identify combinations of existing tools to address novel analysis requests, and in some cases develop new tools to bridge gaps in the domain literature.
As part of an interdisciplinary team, the successful candidate is expected to:
*Serve as an analyst and developer for proteomics projects across the University of Minnesota campuses.
*Carry out consultative informatics services and research with researchers and faculty.
*Design and develop appropriate informatics strategies as required.
*Track and develop infrastructure to meet analytical needs for emerging trends in research literature.
*Develop, prototype, and execute analytic workflows.
* Prepare and present tutorial materials to enable researchers to become self-sufficient in basic analyses
*Appropriately document work conducted, both to comply with RIS reporting requirements, and to allow the preparation of any analytic reports required by the principal investigator of the project.
The ideal candidates will have advanced knowledge of proteomics analytics workflows for data from a variety of generating processes with demonstrated practical experience developing and carrying out analytical strategies in the context of common experimental designs (basic MS or MS/MS, with SILAC or iTRAQ, etc)