658 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Minnesota in United States
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on-boarding for new employees, I9 coordination, visa requests, coordinating appointments for graduate students and fellowships for each term, and reviewing payroll data on a regular basis. Breakdown of Duties
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). ● Interest or experience with cloud platforms (Azure, GCP, AWS) ● Security Best Practices: Knowledge of web application security best practices and strategies for securing APIs and user data. ● Previous
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. Afternoon shift hours also vary by routine, but can be between the hours of 1 pm and 12:30 am. The information above is an overview of this assignment. For more specific details, please contact the supervisor
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Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: The University offers a comprehensive benefits package
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, community service, allied health, industry and business are career paths that graduates of our programs may anticipate as avenues of employment and further professional training. Further information can be
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youth. Pay and Benefits Pay Range: $64,000 - $75,000; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding
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/experience Time Appointment: 100% Appointment Position Type: Faculty and P&A Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers
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environment consisting of in-person and remote work. Information about the University’s flexible work program, Work. With Purpose. can be found at https://humanresources.umn.edu/home/flex-work. Travel In-person
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. While this position utilizes a hybrid work modality, prospective applicants must be located either in the state of Minnesota or near the Wisconsin border OR otherwise open to relocation. The Information
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sequencing and other complex biological datasets. The purpose of this position is to translate large, heterogeneous data streams into reproducible, biologically meaningful insights that support the lab’s