1

Machine Learning Biomedical Internship Jobs in Minnesota

Lab Internship

Anoka, MN · On-site

$22/hr

... of test machinery and equipment as required * Provide testing and engineering support for ... learning opportunities, fostering the development of business acumen and leadership skills at a ...

Lab Internship

Anoka, MN · On-site

$22/hr

... of test machinery and equipment as required * Provide testing and engineering support for ... learning opportunities, fostering the development of business acumen and leadership skills at a ...

... Engineering, Biomedical Engineering, or a related field. Candidates should have an established background in X-ray physics and imaging science. Skills in the development of machine learning ...

next page

Showing results 1-20

Machine Learning Biomedical Internship information

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 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 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 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:
Infographic showing various Machine Learning Biomedical Internship job openings in Minnesota as of May 2026, with employment types broken down into 17% Internship, 72% Full Time, and 11% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.
Health AI Scientist (Researcher 5)

Health AI Scientist (Researcher 5)

University of Minnesota

Minneapolis, MN

$49.15K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 13 days ago


Job description

About the Job
 

Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking one research scientist to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
About the Program
Division of Health Data Science in DOS is a newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE) Program (https://healthinformatics.umn.edu/natural-language-processing) at the Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on NLP for a variety of clinical and biomedical tasks. 
Duties/Responsibilities:
Regularly conduct computational experiments to execute AI algorithms on various health and biomedical projects 
Assist with new project development including literature review, study design and experiment conduction.
Work under general supervision but usually is given the latitude to make decision on projects that s/he is accountable for delivering on; decisions may involve an approach from among alternatives, determining how to best use available resources
Design and/or implement AI methods, summarize findings, and generate study results for research topics
Write, edit or critique technical reports and/or publications describing research results to sponsors or funders of the research, 
Communicate and present analytical results to researchers, faculty, and other academic professionals in associated fields of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats). 

Qualifications
 

Required Qualifications:
A Ph.D. degree in Biomedical/Health Informatics, Computer Science, Information Science, Computational Linguistics, Data Science, Artificial Intelligence, or a related technical field.
Strong programming skills in Python, Java, etc.
Expertise in machine learning, neural networks, and deep learning 
Excellent writing and communication skills 
Highly motivated, ability to identify potential problems and develop solutions.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Preferred Qualifications:
Research experience in natural language processing especially larger language models on biomedical and/or clinical texts, graph neural networks, predictive modeling on longitudinal data.
Expertise in deep learning, reinforcement learning, transfer learning,  
Experience working with multimodal biomedical data
Experience with leading projects within a research team
Working knowledge of modern web service and/or software implementation
Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise 
Strong experience with peer-reviewed publications

About the Department
 

To learn more about the Department of Surgery, please visit: https://med.umn.edu/surgery

Pay and Benefits
 

Pay Range: $49,145.94 minimum; depending on education/qualifications/experience

Time Appointment: 75%-100% Appointment 

Position Type: Faculty and P&A Staff 

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services 
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

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-UOHR (8647).

Diversity
 

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

Employment Requirements
 

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.

About University of Minnesota
 

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 the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).