Science & Research Jobs in Minnesota with Green Card Sponsorship
Minnesota's science and research sector spans medical device manufacturing, pharmaceutical development, and academic research across the Twin Cities, Rochester, and Duluth. Major employers like Mayo Clinic, 3M, Medtronic, and the University of Minnesota have established track records of sponsoring Green Cards for research scientists, biomedical engineers, and laboratory professionals seeking permanent residency.
See All Science & Research JobsOverview
Showing 5 of 131+ Science & Research Green Card Sponsorship Jobs in Minnesota jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 131+ Science & Research Green Card Sponsorship Jobs in Minnesota jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Science & Research Green Card Sponsorship Jobs in Minnesota roles.
Get Access To All JobsAbout Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world's growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
The Research Agronomist – Data & Modeling will report to the Associate Director of Data Operations and Modeling. This is a research-first role with strong statistical grounding and advanced computational skills operating in ambiguity and independently driving high value work. This role operates at the intersection of agronomic research, spatial analytics, and product innovation, transforming large geospatial datasets into actionable insights that shape research direction, product strategy, and operational decisions. This position will strengthen analytical capability to directly drive Pivot Bio's product innovation pipeline and research strategy. This role will analyze data, shape decisions, design new analytical approaches, and help elevate how we use data across the organization.
This role will be onsite at our Minnetonka, MN location.
Essential Functions
- Identify high-impact opportunities and independently initiate exploratory analyses.
- Prototype analytical methods to support Research Agronomy and Product Innovation.
- Quantify uncertainty and guide risk-aware decisions.
- Engineer features from remote sensing data for modeling applications.
- Perform spatial analysis using Python, QGIS, and/or ESRI tools.
- Analyze plant growth dynamics across seasonal time periods.
- Perform EDA, field trial analysis, sensitivity analyses, and QC metric design.
- Develop and evaluate machine learning models when appropriate.
- Translate statistical outputs into clear, actionable recommendations.
- Use python and SQL to work within platforms such as Databricks and AWS.
- Build reproducible research pipelines (data code outputs documentation).
- Contribute to ETL processes and partner closely with engineering.
Competencies
Knowledge & Application
- Advanced Python (pandas, numpy, geopandas, rasterio, scikit-learn).
- Strong SQL skills (Databricks or similar cloud warehouse experience preferred).
- Experience processing large geospatial raster datasets.
- Strong understanding of applied statistics and experimental design.
- Experience with feature engineering, modeling, and uncertainty quantification.
- Familiarity with cloud compute environments (AWS preferred).
- Experience building reproducible analytical workflows.
- Experience using GitHub.
Complexity & Problem Solving
- Researcher mindset: curious, rigorous, and skeptical.
- Strong intuition for data quality and anomaly detection.
- Comfortable operating in ambiguity and prioritizing highest-impact work.
- Tenacious and self-directed, yet collaborative.
- Clear communicator who can translate complexity into action.
Collaboration & Interaction
- Develop high-impact visualizations, presenting concise insights with clear next steps.
- Partner cross-functionally with research agronomists, product teams, and engineers.
- Coach peers and contribute to a strong Research Agronomy culture.
Travel Required – 5%
Required Education & Experience
- Master's degree (or equivalent experience) in Agronomy, Statistics, Data Science, Geospatial Analytics, or related field.
- 2–4 years of experience in applied research, spatial analytics, or agronomic data science.
- Experience working with satellite-derived datasets.
- Background in agricultural field trial analysis preferred.
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup.
- Stock options.
- Health/Dental/Vision insurance with employer-paid premiums.
- Life, Short-Term and Long-Term Disability policies.
- Employee Assistance Program with free referrals and discounts.
- 401(k) plan, 3% Match.
- Commuter benefits.
- Annual Training & Development support.
- Flexible vacation policy with a generous holiday schedule.
- Exciting opportunity to work with a talented and fun team.
About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world's growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
The Research Agronomist – Data & Modeling will report to the Associate Director of Data Operations and Modeling. This is a research-first role with strong statistical grounding and advanced computational skills operating in ambiguity and independently driving high value work. This role operates at the intersection of agronomic research, spatial analytics, and product innovation, transforming large geospatial datasets into actionable insights that shape research direction, product strategy, and operational decisions. This position will strengthen analytical capability to directly drive Pivot Bio's product innovation pipeline and research strategy. This role will analyze data, shape decisions, design new analytical approaches, and help elevate how we use data across the organization.
This role will be onsite at our Minnetonka, MN location.
Essential Functions
- Identify high-impact opportunities and independently initiate exploratory analyses.
- Prototype analytical methods to support Research Agronomy and Product Innovation.
- Quantify uncertainty and guide risk-aware decisions.
- Engineer features from remote sensing data for modeling applications.
- Perform spatial analysis using Python, QGIS, and/or ESRI tools.
- Analyze plant growth dynamics across seasonal time periods.
- Perform EDA, field trial analysis, sensitivity analyses, and QC metric design.
- Develop and evaluate machine learning models when appropriate.
- Translate statistical outputs into clear, actionable recommendations.
- Use python and SQL to work within platforms such as Databricks and AWS.
- Build reproducible research pipelines (data code outputs documentation).
- Contribute to ETL processes and partner closely with engineering.
Competencies
Knowledge & Application
- Advanced Python (pandas, numpy, geopandas, rasterio, scikit-learn).
- Strong SQL skills (Databricks or similar cloud warehouse experience preferred).
- Experience processing large geospatial raster datasets.
- Strong understanding of applied statistics and experimental design.
- Experience with feature engineering, modeling, and uncertainty quantification.
- Familiarity with cloud compute environments (AWS preferred).
- Experience building reproducible analytical workflows.
- Experience using GitHub.
Complexity & Problem Solving
- Researcher mindset: curious, rigorous, and skeptical.
- Strong intuition for data quality and anomaly detection.
- Comfortable operating in ambiguity and prioritizing highest-impact work.
- Tenacious and self-directed, yet collaborative.
- Clear communicator who can translate complexity into action.
Collaboration & Interaction
- Develop high-impact visualizations, presenting concise insights with clear next steps.
- Partner cross-functionally with research agronomists, product teams, and engineers.
- Coach peers and contribute to a strong Research Agronomy culture.
Travel Required – 5%
Required Education & Experience
- Master's degree (or equivalent experience) in Agronomy, Statistics, Data Science, Geospatial Analytics, or related field.
- 2–4 years of experience in applied research, spatial analytics, or agronomic data science.
- Experience working with satellite-derived datasets.
- Background in agricultural field trial analysis preferred.
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup.
- Stock options.
- Health/Dental/Vision insurance with employer-paid premiums.
- Life, Short-Term and Long-Term Disability policies.
- Employee Assistance Program with free referrals and discounts.
- 401(k) plan, 3% Match.
- Commuter benefits.
- Annual Training & Development support.
- Flexible vacation policy with a generous holiday schedule.
- Exciting opportunity to work with a talented and fun team.
Job Roles in Science & Research in Minnesota
See all 131+ Science & Research Minnesota jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Science & Research Minnesota roles.
Get Access To All JobsFrequently Asked Questions
Which science and research companies sponsor Green Card visas in Minnesota?
Mayo Clinic, Medtronic, 3M, Boston Scientific, and the University of Minnesota are among the most active Green Card sponsors in Minnesota's science and research sector. These organizations regularly sponsor researchers, scientists, and engineers through EB-2 and EB-3 employment-based categories. Smaller biotechnology firms and medical device companies in the Twin Cities metro also sponsor Green Cards, though sponsorship practices vary by employer, role, and business need.
Which cities in Minnesota have the most science and research Green Card sponsorship jobs?
The Twin Cities metro, particularly Minneapolis and Saint Paul, concentrates the largest share of science and research Green Card sponsorship activity, driven by the University of Minnesota, major medical device companies, and pharmaceutical employers. Rochester is a significant secondary hub due to Mayo Clinic's substantial research operations. Duluth has a smaller but active research presence through the University of Minnesota Duluth and affiliated health sciences institutions.
What types of science and research roles typically qualify for Green Card sponsorship in Minnesota?
Roles that typically qualify include research scientists, biomedical engineers, bioinformatics specialists, clinical research associates, laboratory directors, and computational biologists. Most sponsorship occurs through the EB-2 category, which requires an advanced degree or exceptional ability, or EB-3 for positions requiring a bachelor's degree in a specific field. Research roles at academic medical centers like Mayo Clinic and the University of Minnesota frequently meet the specialty occupation and educational requirements for employment-based sponsorship.
How do I find science & research Green Card sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship type, so you can search for Green Card-sponsored science and research positions in Minnesota without manually screening hundreds of postings. The platform surfaces roles at employers with documented sponsorship histories, including research institutions, medical device firms, and biotech companies concentrated in the Twin Cities and Rochester. Filtering by the Science and Research category alongside Green Card sponsorship in Minnesota helps narrow results to relevant opportunities.
Are there any Minnesota-specific considerations for Green Card sponsorship in science and research?
Minnesota's concentration of large, well-resourced employers in medical devices, pharmaceuticals, and academic medicine means many science and research roles are held by organizations with established immigration programs and in-house or retained legal counsel. However, Green Card timelines for EB-2 and EB-3 categories depend heavily on your country of birth due to per-country backlogs maintained by the State Department, which affects applicants from India and China significantly regardless of the employer's willingness to sponsor.
What is the prevailing wage for Green Card science & research jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
See which science & research employers are hiring and sponsoring visas in Minnesota right now.
Search Science & Research Jobs in Minnesota