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Bioinformatics Data Engineer Jobs in Minnesota (NOW HIRING)

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Bioinformatics Data Engineer information

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

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

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Minnesota? For Bioinformatics Data Engineer jobs in Minnesota, the most frequently searched job titles are:

Research Fellow - Digital Pathology

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 696 frontline employees who took The Breakroom Quiz

132nd of 887 rated healthcare providers


Job description


The Mayo Clinic Digital Pathology (MCDP) is seeking a Digital Pathology Research Fellow to help advance the next generation of pathology practice. We are seeking an exceptional pathology-trained fellow who blends clinical expertise, enthusiasm for AI, and scientific curiosity with a desire for real-world impact.
Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models that span pathology practice. At Mayo Clinic, you will have access not only to pathology slide data, but the full spectrum of multimodal and longitudinal clinical data needed to develop personalized diagnostic or predictive AI tools. As a member of the MCDP team, you will contribute to foundational research in digital pathology and real-world translation. Your work will help to bring cutting edge innovations into clinical practice and build the foundations of the next wave of innovation in pathology.
We are seeking candidates that could be successful in many environments, including top-tier academic pathology departments and leading technology companies, but who choose this work because of its potential for real and lasting impact on patients and the future of healthcare.
What You'll Do
  • Assist in the development of impactful software tools and AI: Work with AI scienists and programmers to utilize your expertise in morphologic interpretation and pathology reporting to develop, implement, and evaluate vision and multimodal transformers and task-specific pathology models.
  • Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of AI scientists, data scientists and engineers and pathologists
  • Drive growth and visibility: Help shape the direction and culture of MCDP as a new and expanding team. You'll play a key role in our success through your pathology expertise, publications, and strategic promotion of our work.

Qualifications
  • M.D. or D.V.M. with residency training experience in Anatomic Pathology
  • Strong morphologic skills and understanding of pathology reporting standards
  • Familiarity with deep learning technologies (e.g., CNNs, transformers)
  • Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.).
  • Skilled in writing and able to communicate complex scientific ideas clearly and compellingly.
  • Self-motivated, execution-focused, and intellectually independent.
  • Goal-oriented.
  • Comfortable working with real-world, messy, heterogeneous healthcare data.
  • A team player who thrives as a member of a highly functional cross-disciplinary team

Preferred Elements
  • B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field.
  • Formal training in Clinical Informatics, Bioinformatics, or a related field
  • Prior experience with AI in healthcare settings.
  • Prior experience with digital pathology.

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.

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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