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Biomedical Data Engineer Jobs in Minnesota (NOW HIRING)

Senior R&D Engineer

Eden Prairie, MN · On-site

$125K - $160K/yr

Conduct hands-on engineering studies, testing, and data analysis to validate new sensing, signal ... Required: BS in electrical engineering, physics, biomedical engineering, or related technical field;

Senior Quality Engineer

Minneapolis, MN · On-site

$93K - $131K/yr

... data-based decisions and continuous improvement * Own and maintain risk management and DMR ... Bachelor level degree in Engineering (Mechanical, Material Science or Biomedical) or related ...

Principal Engineer

Plymouth, MN · On-site

$104K - $156K/yr

Experience and/or Background * BS in Mechanical, Plastics, Biomedical Engineering or a related ... We may pay more or less than of the anticipated range based upon market data and other factors, all ...

Experience and/or Background * BS in Mechanical, Plastics, Biomedical Engineering or a related ... We may pay more or less than of the anticipated range based upon market data and other factors, all ...

Bachelor's degree in Biomedical Engineering, Mechanical Engineering, Electrical Engineering ... data analysis, and technical reporting * Strong understanding of engineering principles related to ...

Bachelor's degree in Biomedical Engineering, Mechanical Engineering, Electrical Engineering ... data analysis, and technical reporting * Strong understanding of engineering principles related to ...

Ensure all project documentation adheres to ALCOA+ data integrity standards. * Serve as the primary ... Bachelor's degree in Engineering, such as Chemical, Mechanical, Biomedical, Industrial, or a ...

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team ... Biomedical Engineering, or related field * Minimum 7+ years of industrial experience in polymer ...

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team ... Biomedical Engineering, or related field * Minimum 7+ years of industrial experience in polymer ...

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Showing results 1-20

Biomedical Data Engineer information

What are the key skills and qualifications needed to thrive as a Biomedical Data Engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by Biomedical Data Engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a Biomedical Data Engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Minnesota? For Biomedical Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Biomedical Data Engineer jobs? Cities in Minnesota with the most Biomedical Data Engineer job openings:
Infographic showing various Biomedical Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 3% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
AI & Data Analytics Research Fellow-Radiation Oncology

AI & Data Analytics Research Fellow-Radiation Oncology

Mayo Clinic

Rochester, MN • On-site

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 688 frontline employees who took The Breakroom Quiz

105th of 884 rated healthcare providers


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.
Qualifications
  • 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.

About Us
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.

About the Team
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.

What Mayo Clinic employees say

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Benefits

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Mayo Clinic logo

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