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Healthcare Data Science Jobs in Minnesota (NOW HIRING)

Milliman

Healthcare Data Analyst (MedInsight)

Eden Prairie, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education Bachelor's degree in Computer Science, Data Analytics, Health Informatics, Statistics, Mathematics, Economics, Business Analytics, Healthcare Administration, or a related quantitative field ...

HealthPartners

Value Based Care Data Analyst

Bloomington, MN · On-site

$36.37 - $54.55/hr

  • Medical

  • Retirement

... 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 ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language Expert-level modern data science skills in Python and SQL ...

Mayo Clinic

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches. Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to ...

Mayo Clinic

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches. Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to ...

Mayo Clinic

Principal Data Science Analyst

Rochester, MN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches. Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to ...

Mayo Clinic

Principal Data Science Analyst

Rochester, MN

  • Medical

  • Dental

  • Vision

  • Retirement

Has deep knowledge of healthcare data types, topics, and scientific challenges and approaches. Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to ...

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All JobsHealthcare Data Science JobsHealthcare Data Science Jobs in Minnesota

Healthcare Data Science information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do healthcare data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for healthcare data science in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a healthcare data scientist?

To thrive as a Healthcare Data Scientist, you need a strong background in statistics, data analysis, programming (Python or R), and an understanding of healthcare systems, often supported by a degree in data science, computer science, or a related field. Experience with tools like SQL, machine learning frameworks, and familiarity with electronic health record (EHR) systems are typically required. Strong problem-solving skills, attention to detail, and effective communication help translate complex data insights into actionable healthcare solutions. These skills are crucial for deriving meaningful insights from complex healthcare data, improving patient outcomes, and supporting evidence-based decision-making.

What is the difference between Healthcare Data Science vs Healthcare Data Analysis?

AspectHealthcare Data ScienceHealthcare Data Analysis
Required CredentialsTypically requires a degree in data science, statistics, or related fields; often includes programming skills and knowledge of machine learningUsually requires a background in healthcare, statistics, or data analysis; may include certifications in data analysis tools
Work EnvironmentInvolves developing models, algorithms, and predictive analytics; often in research or tech-focused settingsFocuses on interpreting data, generating reports, and supporting clinical or administrative decisions
Employer & Industry UsageUsed by healthcare tech companies, research institutions, and large healthcare providersCommon in hospitals, clinics, insurance companies, and healthcare consulting firms

Healthcare Data Science and Healthcare Data Analysis share overlapping skills but differ mainly in scope. Data scientists develop advanced models and predictive tools, while data analysts focus on interpreting data and generating insights. Both roles are vital in healthcare but serve different functions within the industry.

What are some common challenges faced by healthcare data scientists when working with clinical data?

Healthcare data scientists often navigate challenges such as dealing with incomplete or inconsistent medical records, ensuring patient privacy and data security, and integrating data from diverse sources like electronic health records, lab results, and imaging systems. Additionally, they must collaborate closely with clinicians and IT staff to interpret complex datasets accurately and ensure that their analyses have practical clinical value. Maintaining compliance with healthcare regulations, such as HIPAA, is also a critical aspect of the role.

What can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals to analyze medical data, develop predictive models, and improve patient outcomes. Graduates can work as data analysts, data scientists, or informaticists in hospitals, healthcare companies, or research institutions, often using tools like Python, R, and SQL. The role involves interpreting complex data to support clinical decisions and healthcare policies.

What is healthcare data science?

Healthcare data science is a field that uses data analysis, statistics, and machine learning to extract insights from health-related data. Professionals in this area work with large datasets from sources like electronic health records, clinical trials, and wearable devices. Their goal is to improve patient outcomes, optimize hospital operations, and support medical research by turning raw data into actionable information. This field requires knowledge of healthcare systems, data management, and advanced analytics techniques.

Can a healthcare data scientist work in healthcare?

Yes, healthcare data scientists work within healthcare organizations to analyze medical data, improve patient outcomes, and optimize operational efficiency. They often use tools like Python, R, and SQL, and require knowledge of healthcare systems, data privacy regulations, and statistical methods.
What are the most commonly searched types of Healthcare Data Science jobs in Minnesota? The most popular types of Healthcare Data Science jobs in Minnesota are:
What are popular job titles related to Healthcare Data Science jobs in Minnesota? For Healthcare Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Minnesota look for? The top searched job categories for Healthcare Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Healthcare Data Science jobs? Cities in Minnesota with the most Healthcare Data Science job openings:
Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Healthcare Data Analytics

3B Staffing LLC

Minneapolis, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description Position background: o This position will be part of our Data Science Solutions and Strategy (DS3) Team within the United Healthcare Controllership. The role will be involved multiple technology projects throughout the year to help our organization ensure data quality while assisting with analysis, metric, and report creations. They will have the ability to research and apply various data mining and data science methods in these processes and will be a key resource for major project deliverables. What does this position accomplish for the business? o This position will support various Financial Data Management teams with data testing and data quality assessment. Please describe the team the candidate will be working with (number of team members break- down of the teams skill sets team culture etc.). o The DS3 team is approximately 35 members with the direct team being 5-7 individuals. The team is extremely skilled in various big data technologies (Hive, Hadoop, Teradata) and has a variety of programming skills (SAS, SQL, Python, R) etc. What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)? o Assist various groups in the transition of Financial Systems data flows to various ETL or data warehouse platforms. o Create programs and automated processes for reporting and dashboarding on various data quality measures. o Research and development on various metrics and analytical methods to help with data quality, automated testing, and validation processes. o Develop sophisticated methods for anomaly detection, pattern analysis, change point detection, threshold measuring and other approaches for measure data changes. o Exploratory data analysis and research to determine data baselines and thresholds for summary analysis. What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)? o Healthcare data experience not required but helpful. o 4-year degree in Data Science, Analytics, Mathematics, Statistics, or Computer Science. o 4+ years of experience as a data analyst, data scientist or data engineer. What skills/attributes are required (please be detailed as to number of years of experience for each skill)? o Ability to build complex SQL queries o Ability to confidently communicate findings and help implement change o Professional experience with various data platforms like Microsoft SQL Server, SAS Fusion Hadoop, Teradata, Hive, AWS, Azure, etc.) o Professional experience with various data business intelligence software tools like Power BI, Tableau, iDashboards etc. What skills/attributes are preferred (what will set a candidate apart)? o Aptitude for telling stories with data. o Experience with presenting to Senior Management or Executive Leadership. o SAS Certification, Teradata Vantage Certification, Microsoft Certified Professional o Advanced degree in Data Science or Analytics. o Experience with Github, Agile Methodology. Does this position require a professional license or certification? If so please list. o No What is the dress code (ex: business casual scrubs etc.)? o Business Casual How would you prefer to interview? (Video phone or in person? How many rounds?) • 2 rounds of interviews (MS Teams). o 1hr panel session. o 30min with hiring manager.

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