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Machine Learning Biomedical Internship Jobs in Minnesota

Douglas

Intern - Machine Shop

Alexandria, MN

The Machine Tool internship allows students currently enrolled in Machine Tool Technology an opportunity to gain hands on experience working as a machinist while attending school. The position will ...

Aagard

Machine Operator Intern

Alexandria, MN

$18 - $20/hr

Help set up and operate CNC machines to produce parts that meet required specifications and ... believe internships should be more than just a summer job - they should be a meaningful learning ...

Aagard

Machine Operator Intern

Alexandria, MN · On-site

$18 - $20/hr

Help set up and operate CNC machines to produce parts that meet required specifications and ... believe internships should be more than just a summer job - they should be a meaningful learning ...

H.B Fuller

R&D Intern

Saint Paul, MN

$25/hr

S. We hire interns in the following positions: Process Engineering, R&D, Strategic Sourcing ... This role will focus on developing AI and machine learning workflows that enable scientists to make ...

THOMSON REUTERS

Applied Scientist Intern

Eagan, MN · On-site

$15.25 - $20.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

VivaQuant, Inc.

AI Engineer

Arden Hills, MN · On-site

$110K - $130K/yr

... biomedical engineering, or a related field and enjoys learning and stepping into new challenges. A strong foundation in deep learning, and machine learning is highly desirable. Experience or ...

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Machine Learning Biomedical Internship information

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What are popular job titles related to Machine Learning Biomedical Internship jobs in Minnesota?

For Machine Learning Biomedical Internship jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Machine Learning Biomedical Internship jobs in Minnesota look for?

The top searched job categories for Machine Learning Biomedical Internship jobs in Minnesota are:

What cities in Minnesota are hiring for Machine Learning Biomedical Internship jobs?

Cities in Minnesota with the most Machine Learning Biomedical Internship job openings:

Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 68% Full Time, 28% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

AI & Data Analytics Research Fellow-Radiation Oncology

Rochester, MN • On-site

Mayo Clinic
Hospitals • 10K+ employees
Learn more about Mayo Clinicexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

Job description

The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology at Mayo Clinic is hiring a Research Fellow to help advance the next generation of AI in cancer care: https://radonc-aida.github.io ).

We're looking for an exceptional researcher that is technically strong, intellectually curious, and motivated by real-world impact.

You'll join a uniquely positioned institution. Mayo Clinic treats over 1.4 million patients annually and is consistently ranked among the most trusted names in medicine. Within this environment, AIDA operates as a fast-moving, high-impact team building and deploying AI tools directly into clinical workflows.

Over the past year, our tools have moved beyond prototypes into active clinical use, supporting hundreds of clinicians across multiple specialties. Several have been recognized at institutional and national forums, reflecting both their technical innovation and measurable impact on care delivery. This is a rare opportunity to work on AI systems that are not only published, but used, evaluated, and iterated on in real clinical environments.

Whether it's building models to personalize cancer treatment, extracting insights from longitudinal clinical data, or deploying tools that streamline physician workflows, your work will span both foundational research and real-world translation.

We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter to patients, to clinicians, and to the future of healthcare.

What You'll Do

Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success is measured not just by publications, but by adoption, usability, and clinical impact.

Work on end-to-end systems: Contribute to AI tools that integrate into clinical workflows ranging from predictive modeling to automation of documentation and decision support.

Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of physicians, physicists, data scientists, and engineers.

Translate research into practice: Help move ideas from concept to prototype to deployment to real-world use, learning what actually works in healthcare.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
  • PhD in Computer Science, Machine Learning, Biomedical Informatics, Engineering, Physics, Applied Math, Statistics, or a related field.
  • Strong background in modern machine learning (e.g., deep learning, transformers, or related methods).
  • Strong experience with Python and ML ecosystems (e.g., PyTorch, JAX, scikit-learn).
  • Strong communication skills: able to write and present complex ideas clearly.
  • Self-motivated, execution-focused, and comfortable owning ambiguous problems.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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