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Research Informatics Jobs in Minnesota (NOW HIRING)

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Research Informatics information

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$41.6K

$83.8K

$122.4K

How much do research informatics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for research informatics in Minnesota is $83,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $97,900.00 per year, depending on experience, location, and employer.

What is research informatics?

A Research Informatics job involves managing and analyzing research data using computational tools and informatics systems. Professionals in this field support scientific discovery by developing databases, workflows, and software solutions to organize and interpret complex datasets. They work closely with researchers to streamline data collection, ensure data integrity, and facilitate reproducibility. This role is common in healthcare, pharmaceuticals, and academia, where large-scale data analysis is essential for advancing knowledge and innovation. Strong skills in data management, programming, and domain-specific expertise are often required.

What does a research informatics professional do?

A Research Informatics professional is typically responsible for managing research data, developing and maintaining databases, and ensuring data quality and integrity throughout the research process. Daily tasks often include collaborating with scientists and research staff to design data collection workflows, analyzing or visualizing large datasets, and troubleshooting informatics systems to support ongoing studies. Other duties may involve documentation for data governance, training team members on informatics tools, and staying updated on emerging technologies relevant to biomedical research. This role is integral to facilitating efficient, accurate, and compliant research operations, bridging the gap between IT and scientific teams.

What are the key skills and qualifications needed to thrive in research informatics?

To thrive as a Research Informatics professional, you need a strong background in data analysis, database management, and biomedical or clinical research, typically supported by a degree in informatics, computer science, or a related scientific discipline. Familiarity with tools such as SQL, Python, R, laboratory information management systems (LIMS), and data visualization platforms is highly valued, and certifications in data management or informatics can be advantageous. Effective communication, attention to detail, and problem-solving abilities distinguish top performers in this field. These skills ensure the reliable management and interpretation of complex research data, supporting scientific discovery and compliance with regulatory standards.

What research informatics jobs make the most money?

Research informatics roles such as senior bioinformatics scientists, data managers, and lead informatics analysts tend to have the highest salaries, often exceeding six figures, especially with advanced skills in programming, data analysis, and experience with electronic health records or genomic data. Higher compensation is typically associated with specialized expertise, certifications, and leadership responsibilities in healthcare or research institutions.

What are popular job titles related to Research Informatics jobs in Minnesota?

For Research Informatics jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Research Informatics job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 7% Hybrid, and 21% Remote job distribution, with an average salary of $83,847 per year, or $40.3 per hour.

Post-Doctoral Associate - Computational Health Sciences Division

University of Minnesota

Minneapolis, MN

$61K/yr

Full-time

Medical, Dental, Life

Re-posted 6 days ago


Job description

About the Job
 

Overview
Department of Surgery (DOS, https://med.umn.edu/surgery) at the University of Minnesota is seeking two postdoctoral research associates to join a team working on
multiple research projects in the field of health data science, artificial intelligence and natural language process, computer vision in the Division of Health Data Science (HDS)
at the DOS. The position is an annually renewable professional academic appointment.


Duties/Responsibilities:
Risk predictive model for clinical outcomes
casual representation learning for real-world data
deep learning interpretation, fairness and robustness
Regularly conduct computational experiments to execute algorithms on various
health and biomedical informatics projects
Assist with new project development including literature review, study design.
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 on biomedical and/or
clinical texts, computer vision on medical images, causal inference, predictive
modeling on longitudinal data.
Expertise in transformers, reinforcement learning, transfer learning
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

About the Department
 

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.

About the Department

Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery. 

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

 
Pay and Benefits
 

Pay Range: Minimum $61,008; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • 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) 624-8647.

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).