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Healthcare Data Science Jobs in Wisconsin (NOW HIRING)

Data Science Tutor

Milwaukee, WI · 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

Madison, WI · 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 ...

WI · On-site

$83.43 - $222.48/hr

At CVS Health ® , you'll be surrounded by passionate colleagues who care deeply, innovate with ... Computer Science, Statistics, or a related quantitative or clinical field or an equivalent ...

New

Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred ... RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation ...

WI · On-site

$130 - $160/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data ...

New

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture ...

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture ...

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Position Summary The Data Scientist is responsible for the evaluation of deployed interventions across the healthcare system. They will design evaluation methods to assess the performance and impact ...

WI · On-site

$140 - $190/hr

Understands business needs and translates them into actionable data science projects ... Benefits We offer healthcare benefits for full time and part time positions from day one, including ...

New

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ... Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred.

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Showing results 1-20

Healthcare Data Science information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do healthcare data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for healthcare data science in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 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 popular job titles related to Healthcare Data Science jobs in Wisconsin? For Healthcare Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Wisconsin look for? The top searched job categories for Healthcare Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Healthcare Data Science jobs? Cities in Wisconsin with the most Healthcare Data Science job openings:
Infographic showing various Healthcare Data Science job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Healthcare Data Analyst (MedInsight)

Milliman

Brookfield, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Milliman rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

The MedInsight team develops an industry-leading data warehouse and analytics suite for major healthcare companies including insurers, providers, and public entities. We are a tech healthcare data company transforming how the industry understands and consumes healthcare data.

We are seeking a Healthcare Data Analyst to help transform complex healthcare data into meaningful insights that improve quality, reduce costs, and support better healthcare decision-making. Working alongside consultants, product teams, and analytics experts, you'll profile, validate, and analyze large healthcare datasets while support MedInsight's industry-leading analytics platform and analytic consulting clients.

This role is ideal for someone who enjoys solving complex data problems, learning new technologies, and collaborating with cross-functional teams to deliver high-quality analytical solutions.

Primary Responsibilities:

  • Analyze large healthcare datasets using SQL, Databricks, Python, and other analytical tools.
  • Write and optimize complex SQL queries to support reporting, analytics, and client deliverables.
  • Develop, maintain, and execute data quality checks, feasibility assessments, validation processes, and reconciliation activities.
  • Monitor data quality, investigate anomalies, troubleshooting issues, and recommend corrective actions to ensure data integrity.
  • Develop technical specifications and analytical approaches for healthcare data analyses.
  • Interpret analytical findings and communicate insights, trends, and business impacts to technical and non-technical stakeholders.
  • Produce reports, dashboards, ad hoc analyses, and other client or internal deliverables.
  • Document data definitions, business rules, methodologies, and analytical processes.
  • Collaborate with Product, Consulting, Engineering, and Client Success teams to support implementations and resolve client questions.
  • Identify opportunities to automate recurring analyses and improve analytical workflows.
  • Prioritize and manage multiple assignments while consistently meeting project deadlines.
  • Contribute to continuous process improvement initiatives that enhance data quality, operational efficiency, and customer experience.
  • Follow MedInsight Quality Risk Management (QRM) standards and company policies.
  • Demonstrate MedInsight's core values of Quality, Integrity, and Opportunity.
  • Travel occasionally for team meetings or professional development (less than 5%).

Requirements:

Education

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

Experience

  • One or more years of experience using SQL or comparable data querying tools.
  • Experience analyzing structured datasets and producing analytical deliverables.
  • Experience using one or more of the following technologies:
  • SQL Server / T-SQL
  • Python
  • PySpark
  • Azure Databricks
  • Comparable scripting or analytical tools

Required Skills: 

  •  Proficiency writing SQL queries for data extraction and analysis.
  •  Strong analytical, critical thinking, and problem-solving skills.
  •  Experience working with Microsoft Excel.
  •  Understanding of relational databases and data warehouse concepts.
  •  Ability to communicate technical concepts clearly to both technical and business audiences.
  •  Strong attention to detail and commitment to data accuracy.
  •  Ability to manage multiple priorities in a fast-paced environment.
  •  Strong organizational and time management skills.
  •  Curiosity, initiative, and a continuous learning mindset.
  • Collaborative approach with the ability to work both independently and within cross-functional teams

Preferred Qualifications

  • Experience working with healthcare claims, eligibility, provider, clinical, or pharmacy data.
  • Experience using Azure Databricks or PySpark.
  • Experience creating dashboards using Power BI, Tableau, or similar visualization tools.
  • Familiarity with Agile or Scrum methodologies.
  • Experience supporting healthcare analytics, business intelligence, or data warehousing initiatives.

Location:

This role can be located remotely within the US. The expected application deadline for this job is September 30, 2026. 

Compensation:

The overall salary range for this role is $49,900 - $88,895. For candidates residing in: 

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia, the salary range is $57,385 - $88,895.  
  • All other locations the salary range is $49,900 - $77,300. 

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

  • Join an innovative, high growth company with a solid industry track record 
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions 
  • Be recognized for your contributions and impact
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career 

Benefits: 

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays – A minimum of 10 paid holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • Paid Parental Leave – Up to 11 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D – 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability – Fully paid by Milliman

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. 

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947