Graduate Jobs in Minnesota
Graduate jobs in Minnesota see steady demand across the Twin Cities metro, Rochester, and Duluth, driven by the state's strong presence in medical technology, financial services, retail headquarters, and advanced manufacturing. Major employers with lasting graduate hiring footprints include Mayo Clinic, UnitedHealth Group, and Target, which collectively recruit across business analysis, data science, healthcare administration, and supply chain management. The most in-demand specialties right now are data analytics, operations, and healthcare-adjacent business roles. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 45+ Graduate jobs
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
Job Title
2027 Winter PhD Co-op – Artificial Intelligence & Machine Learning
As the PhD Co-op, Artificial Intelligence & Machine Learning you'll support the EP Clinical Affairs organization by developing AI-solutions, advanced predictive analytics and multimodal machine learning models using clinical trial, procedural, imaging, and outcomes data.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
- An excellent retirement savings plan with a high employer contribution.
- Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
- A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This position works out of our location in the Abbott’s Electrophysiology (EP) business in St. Paul, MN. In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.
As the PhD Co-op, you’ll have the chance to focus on clinical research applications including patient recruitment forecasting, prediction of outcomes following electrophysiology procedures, and generation of novel evidence to support scientific publication and future product innovation.
What You’ll Work On
- Design, develop, train, evaluate and fine-tune predictive models for clinical trial enrollment forecasting, clinical outcomes and other clinical applications.
- Evaluate model performance using clinically relevant endpoints and validation methodologies.
- Build data pipelines for harmonizing and curating diverse clinical and procedural datasets.
- Perform data quality assessments, feature engineering, and model-ready dataset creation.
- Integrate and analyze large multimodal structured or unstructured datasets including medical imaging, clinical records, procedural data, adverse event data, and clinical trial datasets.
- Develop data pipelines, algorithms, and visualization tools.
- Track metrics and document results to improve model accuracy.
- Apply statistical, predictive, and generative AI techniques.
- Collaborate with clinical scientists to identify clinically meaningful questions, endpoints, and model performance criteria.
- Prepare technical reports, presentations, and recommendations.
- Collaborate with cross-functional stakeholders.
- Support scientific abstracts and publications.
Expected Deliverables
- Validated and functional predictive model(s) and reproducible prototype(s) with documented performance metrics and recommendations for future clinical or operational applications.
- Leadership presentation of findings and recommendations.
- Technical documentation supporting future development.
- Contribution to a scientific abstract or publication draft.
Required Education
- Currently enrolled in a Master's or PhD program in Computer Science, Bioinformatics, Computational Biology, Health Informatics, Engineering, or related field.
- PhD candidates preferred.
Required Qualifications
- Advanced proficiency in Python required; experience with R, SQL, MATLAB, Julia, or other analytical programming languages preferred.
- Experience with software development, version control, and code documentation.
- Familiarity with core machine learning concepts, statistics, and frameworks
- Experience developing machine learning or advanced analytical models.
- Experience using Git for version control and familiarity with shell-based or cloud development environments.
- Knowledge of statistical analysis, predictive modeling, and data mining.
- Experience managing and analyzing large datasets.
- Strong problem-solving abilities and a demonstrated eagerness to research and learn new AI technologies independently.
Preferred Qualifications
- Experience with deep learning, NLP, generative AI, or large language models. Familiarity with libraries such as PyTorch, TensorFlow/Keras, Scikit-learn or XGBoost/LightGBM preferred.
- Experience with multimodal AI, foundation models, or fusion methods combining imaging and structured clinical data.
- Established and shareable GitHub repository
- Experience working with cardiac CT, cardiac MRI, echocardiography, fluoroscopy, DICOM data, or other cardiovascular imaging datasets.
- Experience with longitudinal data analysis, survival analysis, risk prediction modeling, or time-to-event methodologies
- Publication record or demonstrated research excellence.
Professional Competencies
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple priorities.
- Strong written, verbal, and presentation skills.
- Ability to communicate complex technical concepts effectively.
- Collaborative mindset and intellectual curiosity.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:
https://abbottbenefits.com/
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.
The base pay for this position is $17.85 – $35.75 per hour. In specific locations, the pay range may vary from the range posted.
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.
Job Title
2027 Winter PhD Co-op – Artificial Intelligence & Machine Learning
As the PhD Co-op, Artificial Intelligence & Machine Learning you'll support the EP Clinical Affairs organization by developing AI-solutions, advanced predictive analytics and multimodal machine learning models using clinical trial, procedural, imaging, and outcomes data.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
- An excellent retirement savings plan with a high employer contribution.
- Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
- A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity
This position works out of our location in the Abbott’s Electrophysiology (EP) business in St. Paul, MN. In Abbott’s Electrophysiology (EP) business, we’re advancing the treatment of heart disease through breakthrough medical technologies in atrial fibrillation, allowing people to restore their health and get on with their lives.
As the PhD Co-op, you’ll have the chance to focus on clinical research applications including patient recruitment forecasting, prediction of outcomes following electrophysiology procedures, and generation of novel evidence to support scientific publication and future product innovation.
What You’ll Work On
- Design, develop, train, evaluate and fine-tune predictive models for clinical trial enrollment forecasting, clinical outcomes and other clinical applications.
- Evaluate model performance using clinically relevant endpoints and validation methodologies.
- Build data pipelines for harmonizing and curating diverse clinical and procedural datasets.
- Perform data quality assessments, feature engineering, and model-ready dataset creation.
- Integrate and analyze large multimodal structured or unstructured datasets including medical imaging, clinical records, procedural data, adverse event data, and clinical trial datasets.
- Develop data pipelines, algorithms, and visualization tools.
- Track metrics and document results to improve model accuracy.
- Apply statistical, predictive, and generative AI techniques.
- Collaborate with clinical scientists to identify clinically meaningful questions, endpoints, and model performance criteria.
- Prepare technical reports, presentations, and recommendations.
- Collaborate with cross-functional stakeholders.
- Support scientific abstracts and publications.
Expected Deliverables
- Validated and functional predictive model(s) and reproducible prototype(s) with documented performance metrics and recommendations for future clinical or operational applications.
- Leadership presentation of findings and recommendations.
- Technical documentation supporting future development.
- Contribution to a scientific abstract or publication draft.
Required Education
- Currently enrolled in a Master's or PhD program in Computer Science, Bioinformatics, Computational Biology, Health Informatics, Engineering, or related field.
- PhD candidates preferred.
Required Qualifications
- Advanced proficiency in Python required; experience with R, SQL, MATLAB, Julia, or other analytical programming languages preferred.
- Experience with software development, version control, and code documentation.
- Familiarity with core machine learning concepts, statistics, and frameworks
- Experience developing machine learning or advanced analytical models.
- Experience using Git for version control and familiarity with shell-based or cloud development environments.
- Knowledge of statistical analysis, predictive modeling, and data mining.
- Experience managing and analyzing large datasets.
- Strong problem-solving abilities and a demonstrated eagerness to research and learn new AI technologies independently.
Preferred Qualifications
- Experience with deep learning, NLP, generative AI, or large language models. Familiarity with libraries such as PyTorch, TensorFlow/Keras, Scikit-learn or XGBoost/LightGBM preferred.
- Experience with multimodal AI, foundation models, or fusion methods combining imaging and structured clinical data.
- Established and shareable GitHub repository
- Experience working with cardiac CT, cardiac MRI, echocardiography, fluoroscopy, DICOM data, or other cardiovascular imaging datasets.
- Experience with longitudinal data analysis, survival analysis, risk prediction modeling, or time-to-event methodologies
- Publication record or demonstrated research excellence.
Professional Competencies
- Strong analytical and problem-solving skills.
- Ability to work independently and manage multiple priorities.
- Strong written, verbal, and presentation skills.
- Ability to communicate complex technical concepts effectively.
- Collaborative mindset and intellectual curiosity.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:
https://abbottbenefits.com/
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.
The base pay for this position is $17.85 – $35.75 per hour. In specific locations, the pay range may vary from the range posted.
See All 45 Graduate Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find Graduate JobsGraduate Jobs by City in Minnesota
Where Minnesota roles are concentrated, by current openings.
Graduate Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Healthcare & Medical Services
- Education
What Minnesota Employers Look For
The qualifications that appear most often in graduate jobs across Minnesota.
- Bachelor's degree in a relevant field recognized by a Minnesota employer or institution
- Proficiency in data analysis tools such as Excel, SQL, or Tableau
- Strong written and verbal communication skills suited to a professional Minnesota workplace
- Ability to work collaboratively in team-based environments common to Minnesota corporate culture
- Completion of an internship, co-op, or applied capstone project in a related field
- Familiarity with project management principles or enterprise software platforms such as SAP or Salesforce
Graduate Jobs in Minnesota: Frequently Asked Questions
How do you become a graduate in Minnesota?
The path to graduate-level employment in Minnesota starts with completing a bachelor's degree from an accredited institution, many of which are in the state itself, including the University of Minnesota Twin Cities, St. Olaf College, and Macalester College. Most graduate roles in business, technology, and operations require no state license, but fields like healthcare administration or financial advising may require Minnesota-specific credentials or registrations through the relevant state licensing board before practicing independently.
Which companies hire graduates in Minnesota?
Minnesota graduate roles are posted by Westwood Professional Services, Alliant Engineering, and TKDA and others right now, based on current listings on Migrate Mate as of October 2026. Minnesota's concentration of Fortune 500 headquarters, including companies in health insurance, retail, and food and beverage, means graduate hiring is broad and consistent throughout the year.
Which Minnesota cities have the most graduate jobs?
Minneapolis, Saint Paul, and Minnetonka have the most graduate openings in Minnesota. The Minneapolis-Saint Paul metro dominates because it anchors the state's Fortune 500 concentration and financial services sector, while Rochester draws graduates into healthcare and medtech roles centered on Mayo Clinic, and Duluth serves as a regional hub for logistics, healthcare, and public sector employers in northeastern Minnesota.
Are there remote graduate jobs in Minnesota?
Yes, and more than many entry-level fields, since graduate roles in analytics, finance, marketing, and technology are well-suited to remote and hybrid arrangements. About 40% of graduate openings tied to Minnesota are remote or hybrid as of October 2026, reflecting how many Minnesota employers adapted their corporate functions after the pandemic. Roles in data, strategy, and project coordination tend to offer the most location flexibility.
How can I get hired as a graduate in Minnesota with little or no experience?
The most realistic entry path is applying to rotational graduate programs or associate-level roles at large Minnesota-based employers such as UnitedHealth Group, 3M, and Target, all of which run structured new-graduate programs that expect limited prior experience. Candidates who have completed internships at Minnesota companies or hold relevant certifications in tools like Salesforce or project management gain a clear edge. Adjacent roles in customer success, operations coordination, or research assistance often serve as direct stepping stones into core graduate positions.
Where can I find and apply to graduate jobs in Minnesota?
You can find and apply to graduate jobs in Minnesota on Migrate Mate, which lists current Minnesota openings updated regularly. Search the listings to find roles that match your background and apply directly to the ones that fit your qualifications and preferred location within the state.
See All 45 Graduate Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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