Research - Laboratory/Non-Laboratory, Staff/Administrative
This position will provide support for the computational needs in biological mass spectrometry (MS) at the UofM, with a focus on developing and maintaining well-defined, scalable and repeatable workflows that support the majority of projects in the area of MS-based proteomics and metabolomics applications. The analyst is expected to remain up-to-date with the latest analytical methods and technologies, integrating them in existing workflows, or developing new ones as necessary, in collaboration with the Research Informatics Support (RIS) team at the Minnesota Supercomputing Institute (MSI). The analyst will work closely with the UMII Data Wrangler to solve more general issues of infrastructure needed to support the analytical software workflows, as well as manage, store and transfer raw and processed data. Given the wide scope of the analysis support that the Informatics Institute offers, the candidate will be expected to have a high degree of independence in developing, adapting, or recommending best-practices. The candidate will be expected to support many, often diverse, analysis projects, with different degrees of oversight according to the Principal Investigator's needs. Coordination with other UMII analysts and other Research Computing units will be necessary in order to deliver UMII's mission of fostering data-intensive computation.
Although hired through the University of Minnesota Informatics Institute, and serving as a University-wide resource for MS analysis, the Analyst will be housed within the Center for Mass Spectrometry and Proteomics (CMSP) facility, working closely with the Faculty Director and staff members to achieve the mission of CMSP. The Analyst will coordinate with CMSP staff to ensure effective integration of the new computational tools into user projects.
Ph.D bioinformatics, computational biology or a related field and one or more years of research training
Knowledge of core analytical software for biological MS-data, particularly MS-based proteomics and/or metabolomics
Experience in testing, developing and implementing automated analytical workflows for processing of medium to large-scale data (GB to TB volumes)
Demonstrated ability to work in an interdisciplinary, team-based environment, working with both analyst/data scientist staff members of core facilities as well as end-users, with a focus on developing informatics infrastructure that meets the needs of these clients and delivers results needed for research projects
Software development experience
**This Researcher 5 position is also posted as a Researcher 3 (job opening ID 329897) with correponding qualifications and job responsibilities.
Internal Number: 329902
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