Clinical Molecular Research Informatics Analyst

As part of a joint initiative with the Department of Laboratory Medicine and Pathology (LM&P), the Research Informatics Solutions (RIS) team within the University of Minnesota Supercomputing Institute (MSI) is hiring a full time bioinformatics analyst to support clinical molecular research at the University of Minnesota. The established RIS group at MSI is designed specifically to foster cutting edge collaboration between bioinformatics analysts and life sciences researchers and to leverage the rich computational and knowledge environment offered by the MSI and the University. LM&P and MSI have had a mutually beneficial partnership in diagnostics since 2011.

The successful applicant will join the expanding RIS team, currently composed of six informatics analysts plus two existing partnered analysts with LM&P. 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 multiple projects.

As part of an interdisciplinary team, the successful candidates will have the responsibilities to:

*Serve as a primary analyst and developer for clinical bioinformatics and research support for LM&P.

*Serve as a liaison and informatics analyst for the Department of Lab Medicine and Pathology (LM&P) faculty.

*Carry out consultative informatics services and research for LM&P faculty on primarily molecular clinical research endeavors.

*Design appropriate informatics strategies as required.

*Develop, prototype, and execute analytic workflows.

*Identify external resources that may be applied to challenges facing the interdisciplinary group.

*Help to integrate new molecular technologies as they become useful for clinical purposes (e.g., single-cell expression profiling)

*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 next generation sequencing technologies with demonstrated practical experience in developing and carrying out analytical strategies in the context of NGS applications (e.g. DNA SNP and structural variant detection, de novo sequencing, RNA-seq).

*A portion of moving expenses will be covered per University guidelines.

Offers of employment are contingent upon the successful completion of a background check.

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