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Internship Healthcare Data Science Jobs in Minnesota

... health outcomes, and help reduce the overall cost of care. As members of collaborative Agile teams, Value Based Care Data Analysts partner closely with data engineers, developers, data scientists ...

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$78K - $99K/yr

Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... healthcare trends and enterprise changes. Interpersonal skills and time management skills are ...

... healthcare trends and enterprise changes. Interpersonal skills and time management skills are ... experience in data science will be considered. The preferred candidate will possess a Master ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... healthcare trends and enterprise changes. Interpersonal skills and time management skills are ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... healthcare trends and enterprise changes. Interpersonal skills and time management skills are ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... healthcare trends and enterprise changes. Interpersonal skills and time management skills are ...

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Internship Healthcare Data Science information

What is an internship in healthcare data science?

An internship in healthcare data science is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing and interpreting healthcare data. Interns typically work with professionals on projects involving data cleaning, statistical analysis, machine learning, and data visualization to support healthcare decision-making and improve patient outcomes. These internships help participants develop technical skills, gain industry knowledge, and build professional networks in the rapidly growing field of healthcare data science.

What are the key skills and qualifications needed to thrive as an internship in healthcare data science?

To thrive as an intern in healthcare data science, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in data science, computer science, or a related field. Familiarity with data visualization tools (e.g., Tableau), healthcare databases (e.g., EHR systems), and knowledge of HIPAA regulations are often expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These capabilities are essential for transforming complex healthcare data into actionable insights that improve patient outcomes and support data-driven decision-making.

What types of projects do interns in healthcare data science typically work on, and how do these projects contribute to real-world healthcare improvements?

Interns in Healthcare Data Science often work on projects such as analyzing patient data to identify trends, developing predictive models for disease progression, or optimizing hospital resource allocation. These projects are usually part of larger, cross-functional teams including clinicians, IT specialists, and senior data scientists. The outcomes of your work can directly impact patient care processes, inform decision-making, and improve operational efficiency in healthcare settings. Expect regular mentorship and feedback, as well as opportunities to present your findings to technical and non-technical stakeholders.

What is the difference between Internship Healthcare Data Science vs Healthcare Data Analyst?

AspectInternship Healthcare Data ScienceHealthcare Data Analyst
Required CredentialsTypically pursuing or recent graduate in data science, statistics, or related fieldOften requires degree in health informatics, statistics, or related field
Work EnvironmentInternship setting, often in hospitals, healthcare tech companies, or research institutionsFull-time or part-time roles in healthcare organizations, clinics, or health IT firms
Employer & Industry UsageUsed by healthcare providers, research institutions, and tech companies for training and entry-level rolesCommon in hospitals, insurance companies, and healthcare consulting firms for data analysis tasks

Internship Healthcare Data Science positions are entry-level, focused on training and gaining experience in data science techniques applied to healthcare. Healthcare Data Analysts are more established roles, responsible for analyzing healthcare data to support decision-making. Both roles require similar educational backgrounds but differ in experience level and job responsibilities.

Can data science be used in healthcare?

Healthcare Data Science is a field that applies data analysis, machine learning, and statistical methods to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in healthcare often work with electronic health records, medical imaging, and health-related datasets using tools like Python, R, and SQL. This role requires understanding healthcare regulations and data privacy standards such as HIPAA.

How do I become a healthcare data scientist?

To become a healthcare data scientist, you typically need a strong background in data science, statistics, or computer science, often with a relevant bachelor's or master's degree. Skills in programming languages like Python or R, knowledge of healthcare data systems, and experience with machine learning are essential. Gaining certifications in data analysis or healthcare informatics can also enhance your qualifications.

How to get an internship in healthcare data science?

To secure a healthcare data science internship, candidates should have a strong foundation in data analysis, programming (such as Python or R), and knowledge of healthcare systems. Relevant coursework, certifications in data science or healthcare analytics, and experience with tools like SQL and machine learning can improve chances. Applying through university career services, networking with industry professionals, and demonstrating project work are also effective strategies.

What are popular job titles related to Internship Healthcare Data Science jobs in Minnesota?

For Internship Healthcare Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Internship Healthcare Data Science jobs in Minnesota look for?

The top searched job categories for Internship Healthcare Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Internship Healthcare Data Science jobs?

Cities in Minnesota with the most Internship Healthcare Data Science job openings:

Infographic showing various Internship Healthcare Data Science job openings in Minnesota as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Value Based Care Data Analyst

HealthPartners

Bloomington, MN

Full-time

Medical, Retirement

Re-posted 19 days ago


HealthPartners rating

7.6

Company rating: 7.6 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

191st of 891 rated healthcare providers


Job description

HealthPartners is hiring a Value Based Care Data Analyst. We are currently filling multiple positions within our growing Value Based Care analytics team, offering opportunities to make a meaningful impact on improving health outcomes and affordability. The Value Based Care Data Analyst leverages data to improve patient and member experiences, enhance health outcomes, and help reduce the overall cost of care.

As members of collaborative Agile teams, Value Based Care Data Analysts partner closely with data engineers, developers, data scientists, and business stakeholders to deliver impactful analytics solutions. They are responsible for analyzing and validating data, developing meaningful visualizations, and translating complex information into clear, actionable recommendations that support value-based care initiatives.

These individuals develop a deep understanding of their business domains and the data that drives them, serving as trusted partners and consultants across the organization. Working alongside scrum teams, they contribute to the design and delivery of scalable data products and analytics solutions that empower informed decision-making and create measurable value for members, patients, and care teams.

HealthPartners is hiring for multiple Value-Based Care Data Analyst opportunities. While all roles are focused on improving healthcare quality, outcomes, and affordability through data-driven insights, each position offers a unique area of focus and the opportunity to make a meaningful impact across our organization. Explore the specific focus areas below.

Value-Based Care:

The Value-Based Care team partners with the Health Plan Finance Product Team, Provider Relations, Diagnosis Accuracy Team, Quality, and Purchaser Solutions Team to deliver measurement, analytics, and reporting that support provider risk arrangements and incentive programs. By providing trusted actionable insights into quality, cost, and performance, the team helps drive better outcomes, greater affordability, and improved care for our members and patients.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of ten analysts, consultants, and engineers.

Quality Measurement and Analytics:

The Value-Based Care Data Analyst helps HealthPartners use data to improve the quality of care our members receive and ensure we meet important healthcare quality standards. This role analyzes complex healthcare data and turns it into meaningful insights that help improve member outcomes, support providers, and guide key business decisions. The team also works to bring together data from multiple sources and modernize how healthcare information is managed and reported.

The work of this role directly influences healthcare quality, the member experience, regulatory performance, and organizational growth. By helping HealthPartners measure and improve performance, the Value-Based Care Data Analyst plays an important part in delivering high-quality, affordable care to the communities we serve.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of fourteen analysts, consultants, engineers, and specialists.

Required Qualifications:

  • Bachelor's degree in economics, mathematics, business, computer science, data science, social science, operations research, statistics, or a related quantitative field. Equivalent combinations of education and experience will also be considered. Candidates with experience spanning multiple disciplines are strongly encouraged to apply.
  • Six (6) years of experience applying technical and analytical skills to extract, integrate, analyze, and interpret complex data from multiple sources, translating data into meaningful insights that support business decision-making.
  • Demonstrated experience developing dashboards, visualizations, and actionable insights using Microsoft Power BI, with experience in Tableau or other data visualization tools also valued.
  • Demonstrated ability to tell stories using data.  
  • Solid working experience with SQL and relational database design.
  • Programming skills using Python, R, SAS, etc. ("or similar").
  • Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
  • Demonstrated experience presenting findings and actionable recommendations.
  • Must be motivated, self-driven, curious, and creative.
  • Ability to communicate and demonstrate an ability to work with development teams, end users, and business partners.
  • Demonstrated ability to support and complement the work of a diverse development and / or operations team.

Preferred Qualifications:

  • Knowledge of health insurance operations including billing, payment, contracting, regulations, provider networks is strongly preferred.
  • Demonstrated use of advanced statistical techniques (risk scoring, predictive modeling))
  • Exposure to agile/scrum (including tools like JIRA)
  • Experience using Azure Data Lake, Databricks, DevOps, Power Automate
  • Experience with HEDIS and STARS quality measurement

Hours/Location:

  • M-F; core business hours
  • This is a primarily remote position with occasional onsite presence required for meetings or workgroup sessions. 

Compensation Range:

  • These positions are available at an intermediate, senior, or principal level, depending on qualifications.
    • Intermediate Analyst: $36.37 - $54.55 hourly
    • Senior Analyst: $44.72 - $67.08 hourly
    • Principal Analyst: $50.32 - $75.48 hourly
      • Compensation is based on the level and requirements of the role. Pay within our ranges may also be determined by education, experience, knowledge, skills, location, and abilities as well as internal equity. Hired candidates may be eligible to receive additional compensation based on role (e.g., shift differential, bonus, sales incentive, productivity pay, etc.).

Responsibilities:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Partners with domain experts, business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal.
  • Works with business partners to understand and create their "user stories;" they support opportunities to leverage data analytics in service of customer or business value.
  • Creates, deploys, monitors, and maintains highly interactive data visualizations.
  • Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment, and indexing, as well as domain-specific measurements (example: readmission rates)
  • Works with their teams to ensure data accessibility, accuracy, and quality, and may function as data stewards by contributing to management of central data stores and metadata.
  • May provide consultative, data-driven support on product and business strategy development.
  • Sets up and executes test cases to validate that analytic and software solutions meet the business acceptance criteria.
  • Communicates solution tradeoffs to business partners to frame and influence project decisions.
  • Leverages internal and external sources to validate data accuracy and benchmark results.
  • Promote and champion HealthPartners' security and de-identification standards, while they manage sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


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