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Bioinformatics Engineer information

See Minnesota salary details

$42.1K

$128.4K

$233.6K

How much do bioinformatics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for bioinformatics engineer in Minnesota is $128,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics 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 EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

More about Bioinformatics Engineer jobs
What are popular job titles related to Bioinformatics Engineer jobs in Minnesota? For Bioinformatics Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in Minnesota look for? The top searched job categories for Bioinformatics Engineer jobs in Minnesota are:
What are popular job titles related to Bioinformatics Engineer jobs in MN? For Bioinformatics Engineer jobs in MN, the most frequently searched job titles are:
Bioinformatics Engineer jobs near you
Research Fellow - Digital Pathology

Research Fellow - Digital Pathology

Mayo Clinic

Rochester, MN

$64K - $74K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 689 frontline employees who took The Breakroom Quiz

105th of 886 rated healthcare providers

Job description

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.

Responsibilities

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.

Exemption Status
Exempt
Compensation Detail
$64,079 - $74,963.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F
International Assignment
No
Site Description
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.

Recruiter
Janell MaderQualifications:
  • 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.

What Mayo Clinic employees say

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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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