Research Scientist Jobs in Minnesota
Research Scientist jobs in Minnesota are open across Minneapolis, Oakdale, and Chaska and other Minnesota metros, with employers like Pace Analytical Services, Microbiologics, and University of Minnesota hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
We seek a highly motivated individual to serve in the Runck Lab in a temporary and casual capacity. The successful candidate will support ongoing research and development in one or more of the following areas: electrical or computer engineering, data analysis, modeling, machine learning, geographic information systems (GIS), software development, sensing systems, or related fields. Specific duties will be matched to the candidate's background and the lab's current project needs.
ROLE AND RESPONSIBILITIES
This is a temporary and casual research support role. Specific responsibilities will be tailored to the candidate's expertise and the lab's project needs, and may include any combination of the following:
Research and Development Support (100%)
- Support research, development, prototyping, testing, and analysis activities across the lab's project portfolio, which may include hardware and firmware systems, software tools, data pipelines, modeling and machine learning workflows, geospatial analysis, or sensor deployment and monitoring.
- Support the production of professional and policy outputs such as scientific documentation, tutorials, standard operating procedures, online content, journal articles, books, book chapters, and presentations.
- Support data organization, processing, quality assurance, and visualization for active research projects.
- Support the deployment, maintenance, and decommissioning of field-deployed systems as needed.
The Runck Lab focuses on the science and engineering of real-time geoinformation systems ranging from data collection (hardware, firmware) through to data storage, modeling, and visualization. Ongoing work focuses on the application of novel spatial machine learning and artificial intelligence models in real-time to support decision-making, the development of novel sensing modalities, and the effects of geovisualization systems on cross-organization decision-making and action.
Funding for the lab comes from diverse sources including recurring funding through the GEMS Informatics Center from the MnDRIVE program, federal grants, state grants, foundations, and private companies. The lab fluctuates between 8 and 12 members with two full-time research staff supporting lab operations and GEMS Sensing, a service organization focused on research support for environmental data collection. Due to the applied and cross-sector nature of R&D, the lab provides an opportunity to broadly engage in large, multidisciplinary, and high impact R&D.
The GEMS Informatics Center is a joint initiative of the College of Food, Agriculture and Natural Resource Sciences and the Minnesota Supercomputing Institute and is a highly diverse international and interdisciplinary team of professionals. The Center is re-imagining the relationships between data, institutions, and disciplines to inform and accelerate innovation within the food and agricultural sectors. GEMS broadly seeks to make genomics, environmental, management, and socioeconomic data interoperable at varying spatial and temporal scales to generate actionable information and promote new innovation partnerships that accelerates and sustains growth in local and global food and agricultural systems.
BASIC QUALIFICATIONS
- Bachelor's degree (or higher) in a field relevant to the work, such as electrical, computer, or mechanical engineering; computer science; data science; statistics; geography or GIS; environmental, agricultural, or natural sciences; or a closely related field.
- Demonstrated experience relevant to one or more of the lab's core areas: hardware/firmware development, software development, data analysis, modeling, machine learning, or geospatial analysis.
- Good written and verbal communication skills.
- Ability to work both independently and collaboratively in a multidisciplinary team environment.
PREFERRED QUALIFICATIONS
- Experience with one or more programming or analysis tools commonly used in the lab (e.g., Python, R, C/C++, SQL, MATLAB).
- Experience with environmental sensing systems, embedded systems, or Internet of Things (IoT) hardware.
- Experience with data visualization, dashboarding, or database management.
APPLICATION INSTRUCTIONS
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
LOCATION
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.
INTRODUCTION
We seek a highly motivated individual to serve in the Runck Lab in a temporary and casual capacity. The successful candidate will support ongoing research and development in one or more of the following areas: electrical or computer engineering, data analysis, modeling, machine learning, geographic information systems (GIS), software development, sensing systems, or related fields. Specific duties will be matched to the candidate's background and the lab's current project needs.
ROLE AND RESPONSIBILITIES
This is a temporary and casual research support role. Specific responsibilities will be tailored to the candidate's expertise and the lab's project needs, and may include any combination of the following:
Research and Development Support (100%)
- Support research, development, prototyping, testing, and analysis activities across the lab's project portfolio, which may include hardware and firmware systems, software tools, data pipelines, modeling and machine learning workflows, geospatial analysis, or sensor deployment and monitoring.
- Support the production of professional and policy outputs such as scientific documentation, tutorials, standard operating procedures, online content, journal articles, books, book chapters, and presentations.
- Support data organization, processing, quality assurance, and visualization for active research projects.
- Support the deployment, maintenance, and decommissioning of field-deployed systems as needed.
The Runck Lab focuses on the science and engineering of real-time geoinformation systems ranging from data collection (hardware, firmware) through to data storage, modeling, and visualization. Ongoing work focuses on the application of novel spatial machine learning and artificial intelligence models in real-time to support decision-making, the development of novel sensing modalities, and the effects of geovisualization systems on cross-organization decision-making and action.
Funding for the lab comes from diverse sources including recurring funding through the GEMS Informatics Center from the MnDRIVE program, federal grants, state grants, foundations, and private companies. The lab fluctuates between 8 and 12 members with two full-time research staff supporting lab operations and GEMS Sensing, a service organization focused on research support for environmental data collection. Due to the applied and cross-sector nature of R&D, the lab provides an opportunity to broadly engage in large, multidisciplinary, and high impact R&D.
The GEMS Informatics Center is a joint initiative of the College of Food, Agriculture and Natural Resource Sciences and the Minnesota Supercomputing Institute and is a highly diverse international and interdisciplinary team of professionals. The Center is re-imagining the relationships between data, institutions, and disciplines to inform and accelerate innovation within the food and agricultural sectors. GEMS broadly seeks to make genomics, environmental, management, and socioeconomic data interoperable at varying spatial and temporal scales to generate actionable information and promote new innovation partnerships that accelerates and sustains growth in local and global food and agricultural systems.
BASIC QUALIFICATIONS
- Bachelor's degree (or higher) in a field relevant to the work, such as electrical, computer, or mechanical engineering; computer science; data science; statistics; geography or GIS; environmental, agricultural, or natural sciences; or a closely related field.
- Demonstrated experience relevant to one or more of the lab's core areas: hardware/firmware development, software development, data analysis, modeling, machine learning, or geospatial analysis.
- Good written and verbal communication skills.
- Ability to work both independently and collaboratively in a multidisciplinary team environment.
PREFERRED QUALIFICATIONS
- Experience with one or more programming or analysis tools commonly used in the lab (e.g., Python, R, C/C++, SQL, MATLAB).
- Experience with environmental sensing systems, embedded systems, or Internet of Things (IoT) hardware.
- Experience with data visualization, dashboarding, or database management.
APPLICATION INSTRUCTIONS
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
LOCATION
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.
See All 19 Research Scientist Jobs in Minnesota
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Find Research Scientist JobsResearch Scientist Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Research Scientist Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
- Pace Analytical Services4
- Microbiologics3
- University of Minnesota3
- Trans Ova Genetics2
- Abbott1
Top Industries Hiring
- Manufacturing5
- Healthcare & Medical Services4
- Medical Devices4
- Agriculture & Farming3
- Education3
What Minnesota Employers Look For
The qualifications that appear most often in research scientist jobs across Minnesota.
- Ph.D. in a relevant scientific discipline such as biology, chemistry, or computer science
- Hands-on experience designing and executing independent research experiments
- Proficiency with statistical analysis software such as R, Python, or MATLAB
- Demonstrated record of peer-reviewed publications or conference presentations
- Experience with specific laboratory techniques such as CRISPR, mass spectrometry, or next-generation sequencing
- Strong written and verbal communication skills for presenting findings to cross-functional teams
Research Scientist Jobs in Minnesota: Frequently Asked Questions
How many research scientist jobs are there in Minnesota?
There are 19+ research scientist openings in Minnesota on Migrate Mate as of June 2026, with the most roles in Minneapolis, Oakdale, and Chaska. New positions post regularly as employers across Minnesota hire.
Which Minnesota cities have the most research scientist jobs?
Minneapolis, Oakdale, and Chaska have the most research scientist openings in Minnesota right now, with additional roles spread across smaller metros statewide.
Which companies hire research scientists in Minnesota?
Employers hiring research scientists in Minnesota include Pace Analytical Services, Microbiologics, and University of Minnesota, based on current listings on Migrate Mate as of June 2026.
Are there remote research scientist jobs in Minnesota?
Yes. About 11% of research scientist openings tied to Minnesota are remote or hybrid as of June 2026. The rest are on-site roles based in Minnesota metros.
How do I apply for research scientist jobs in Minnesota?
You can apply to research scientist jobs in Minnesota directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Minnesota location, then apply to each one that fits.
See All 19 Research Scientist Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Research Scientist Jobs