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Computational Social Science Jobs in Minnesota (NOW HIRING)

... and computational scientists. The faculty are dedicated to mentoring members of the laboratory ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... and computational scientists. The faculty are dedicated to mentoring members of the laboratory ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... and computational scientists. The faculty are dedicated to mentoring members of the laboratory ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... computational scientists. A Research Fellow at Mayo Clinic is a temporary position intended to ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... computational scientists. A Research Fellow at Mayo Clinic is a temporary position intended to ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... computational scientists. A Research Fellow at Mayo Clinic is a temporary position intended to ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... and computational scientists. The faculty are dedicated to mentoring members of the laboratory ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

... computational scientists. A Research Fellow at Mayo Clinic is a temporary position intended to ... Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if ...

Showing results 21-38

Computational Social Science information

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$40

$53

$72

How much do computational social science jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for computational social science in Minnesota is $53.80, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $72.02 per hour, depending on experience, location, and employer.

What is computational social science?

Computational social science is an interdisciplinary field that uses computational methods, such as data analysis, simulations, and modeling, to study social phenomena and human behavior. It combines tools from computer science, statistics, and social sciences to analyze large-scale social data, like social media activity, online interactions, or census records. This approach helps researchers uncover patterns and trends that would be difficult or impossible to detect using traditional social science methods alone.

What types of data sources and analytical methods are commonly used in computational social science roles?

In Computational Social Science positions, professionals typically work with large and diverse datasets, including social media feeds, digital communication records, surveys, and online behavioral data. Analytical methods often involve a mix of quantitative techniques such as network analysis, machine learning, natural language processing, and agent-based modeling. Collaborative projects may require integrating insights from computer science, sociology, and statistics, making interdisciplinary teamwork a frequent part of the role. Adapting to evolving data privacy guidelines and ensuring ethical data use are also important daily considerations.

What are the key skills and qualifications needed to thrive as a computational social scientist, and why are they important?

To thrive as a Computational Social Scientist, you need a solid background in social science research methods, statistics, and programming—often supported by an advanced degree in a relevant field. Familiarity with data analysis tools such as Python, R, machine learning libraries, and experience with large datasets or social network analysis software is typical. Strong analytical thinking, interdisciplinary collaboration, and effective communication skills help you interpret results and convey insights to diverse audiences. These competencies are crucial for generating impactful, data-driven insights into complex social phenomena and informing decision-making.

What is the difference between Computational Social Science vs Data Scientist?

AspectComputational Social ScienceData Scientist
Required CredentialsSocial science background, programming skillsStatistics, programming, domain knowledge
Work EnvironmentResearch institutions, academia, social research firmsTech companies, finance, healthcare
Employer & Industry UsageUniversities, government agencies, social research organizationsCorporations, startups, consulting firms
Common Search & ComparisonYesYes

Computational Social Science focuses on analyzing social phenomena using computational methods rooted in social science theories, often within academic or research settings. Data Scientists, however, apply statistical and machine learning techniques to large datasets across various industries. While both roles require programming skills, Computational Social Science emphasizes social theory and research, whereas Data Science centers on data analysis and business insights.

What can I do with a computational social science degree?

A computational social science degree prepares individuals for roles such as data analyst, social data scientist, or research analyst, where they analyze social data using statistical tools, programming languages like Python or R, and modeling techniques. Graduates can work in academia, government agencies, or private sector organizations focused on social research, policy analysis, or market research. Strong skills in data analysis, machine learning, and social theory are often essential for these positions.

What are popular job titles related to Computational Social Science jobs in Minnesota?

For Computational Social Science jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Computational Social Science jobs?

Cities in Minnesota with the most Computational Social Science job openings:

Infographic showing various Computational Social Science job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $111,897 per year, or $53.8 per hour.

RTP - Research Fellow - AI and Informatics

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 705 frontline employees who took The Breakroom Quiz

134th of 898 rated healthcare providers


Job description


A Research Fellow opportunity is available under the mentorship of Hao Gong, Ph.D. in the Research Department of AI and Informatics.
A Research Fellow in Engineering in this role will apply advanced computational and engineering skills to the development, implementation, and evaluation of AI / ML algorithms for clinical applications. Responsibilities include processing and analyzing imaging and multimodal clinical data, implementing and testing of computational models, and supporting translational research and clinical deployment within an interdisciplinary environment.
A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.
Qualifications
The Research Fellow will lead the development and validation of advanced AI / ML algorithms to support diagnosis and treatment planning, work closely with clinical collaborators to translate in-house-developed techniques toward clinical adoption, and disseminate significant scientific findings through conference presentations and peer-reviewed publications. Applicants should have a strong background in clinical image processing and analysis, generative modeling, multi-modal learning, experimental design, and statistical evaluation. Additional domain knowledge in clinical imaging physics or computational biology is considered a plus.
  • Ph.D. degree in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, Medical Physics, or a related field.
  • Extensive expertise in developing advanced AI / ML methods for clinical imaging tasks, such as disease classification, lesion detection, lesion / tumor segmentation, and biomarker analysis.
  • Proven, hands-on experience with generative modeling approaches (e.g., GAN, Diffusion, or LLM).
  • Experience of designing or implementing multi-modal frameworks that integrate imaging data with other modalities (e.g., EHRs, genomics, clinical reports).
  • Excellent Python programming skills are required, with proficiency in TensorFlow / PyTorch and modern ML tools.
  • (Preferred) Experience with scalable computing, such as multi-GPU training, distributed data processing, and research-oriented MLOps.
  • Excellent oral and written English communication skills, along with a solid record of peer-reviewed publications in relevant conferences and academic journals.
  • The ability to work independently and collaboratively within a multidisciplinary environment.

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