Temp Casual Research Assistant at University of Minnesota Minneapolis, MN

Temp Casual Research Assistant job at University of Minnesota. Minneapolis, MN.

• HS degree or equivalent
• Experience with GIS
• Demonstrated interpersonal, presentation, facilitation, and communication skills

• Understanding of spatial thinking concepts
• Working knowledge of Esri’s ArcGIS platform
• Experience in Python scripting and spatial computing

Working with the U-Spatial team, this position will support geospatial research across the University of Minnesota. U-Spatial is a nationally recognized model that provides consulting services and drives a fast-growing need for expertise in Geographic Information Systems (GIS), Geographic Information Science (GIScience), remote sensing, and spatial computing across the University.

We are seeking a temporary GIS technician to work on the Minnesota statewide Lead Service Line Project. The GIS technicians will be responsible for integrating data submissions from public water supplies, reviewing the data for inconsistencies, geocoding addresses, communicating with team members, and assuring an accurate final product.

We are seeking a GIS Technician with a good eye for detail. The ideal candidate will demonstrate proficiency in ArcGIS Pro and Online, with a preference for some experience running Python scripts. Experience with geoprocessing tools is also highly desirable. Attention to detail is strongly preferred, as the candidate will be responsible for a multi-step process for integrating, reviewing, and assuring data submissions from public water supplies.

• Assist with various projects based on individual strengths, including:
• Cartographic design and mapping.
• Database management and data cleanup.
• Spatial analysis.
• Programming or scripting for tools and web applications.
• Support in research and report writing tasks.

• Research and respond to inquiries from students, faculty, and staff regarding GIS, remote sensing, spatial computing, and software licensing via email, phone calls, and walk-in consultations.
• Log all interactions in the incident tracking system.
• Develop documentation for a knowledge base to address common queries.

• Support training workshops by providing assistance.
• Participate in U-Spatial events and lectures.

The Research and Innovation Office (RIO) and U-Spatial endorse a "work with flexibility" approach that offers a welcoming and flexible work environment where everyone is inspired to do their best. Work location options include working fully remote, partially remote, or entirely in the office and are based on the work of the position. Some on-site work may be necessary for certain positions, even those designated as fully remote.

This position has been designated as eligible for flexible work profile
3. Profile 3 is expected to typically work in the office/lab 1-2 days per week. Working remotely at least 3 days per week. Your dedicated office space will be in your remote work location.

U-Spatial management retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time.

The Employer retains the right to change or assign other duties to this position.

With offices on both the Twin Cities and Duluth campuses, U-Spatial collaborates with a variety of departments and centers, creating new opportunities and synergies around spatial research, teaching, and service by supporting projects with application development and spatial analysis. This position is based on either the Duluth or Twin Cities campus. This position allows for a hybrid work option. Full-time remote work is not an option.

U-Spatial is a nationally recognized model that advances the fast-growing need for expertise in Geographic Information Systems (GIS), remote sensing, and spatial computing. The infrastructure eliminates duplication and fragmentation of resources by providing a framework of spatial data, equipment, and expertise. U-Spatial has supported over 3,000 researchers across every department and center at the University through the help desk, training, consulting, and events.

U-Spatial has been integral to making the U of M one of the world's first "Spatial Universities".

Organizationally, U-Spatial is within Research Computing, an academic center within Research and Innovation Office (RIO). Research Computing brings together the diverse portfolio of research computing and data resources available at the University.…