1

Healthcare Data Science Jobs in Wisconsin (NOW HIRING)

WI · On-site

$65 - $173/hr

At CVS Health ® , you'll be surrounded by passionate colleagues who care deeply, innovate with ... As a member of our team, you will make an immediate impact as you help expand our data science ...

New

Bachelor's degree in field of healthcare, public/population health, statistics, data science, or related field required. Certification/Registration/Licensure : Valid driver's license required. EPIC ...

... Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics Join a healthcare system where employee engagement is at an all-time high. Here we foster a ...

WI · On-site

$95 - $130/hr

... science (required) * Professional experience in hospital setting, medical informatics, healthcare I ... Ensures safe care to patients, staff and visitors; adheres to all policies, procedures, and ...

New

... care audiences. Using tools such as R, Python and SQL, the Data Scientist will help design ... D. in Population Health, Epidemiology, Data Science, or related field, is preferred. How to Apply:

Showing results 21-40

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.

$65 - $173/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Role Description

CVS/Oak Street Health is looking for a Data Scientist to join our Decision Sciences team. This team is responsible for delivering data-driven solutions to optimize Oak Street Health's innovative care model and ultimately improve patient outcomes. This team works with many stakeholders across the organization in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided. As a Data Scientist, you will work with other data scientists and analysts on prospective study designs & execution, ROI assessments, and clinical program evaluations & optimizations. You will be involved in creating statistical analysis plans in partnership with program stakeholders and presenting results to a diverse audience. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model.

Core Responsibilities:
  • Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientists
  • Execute exploratory data analysis to validate and quantify trends identified by partner organizations.
  • Develop insights, visualizations, and other data artifacts that support broader data science initiatives
  • Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion
  • Demonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitude
  • Other duties as assigned
Minimum Requirements:
  • 3 years of demonstrated experience conducting statistical analysis and machine learning to answer research or business questions (1+ years if candidate has a Masters or PhD)
  • 3 years of experience in SQL and Python programming (1+ years if candidate has a Masters or PhD)
  • Demonstrated ability to decompose multi-tier problems into actionable steps
  • Excellent problem-solving and analytical skills
  • Experience working with large datasets, analyzing data, and extracting meaningful insights
  • Demonstrated ability to communicate complex analytical findings to diverse audiences
Preferred Requirements:
  • Experience with Google Cloud Computing (GCP)
  • Experience with BigQuery
  • Experience working with medical data sets
  • Experience working with data engineering/MLOps teams to productionalize data science models
  • Familiarity with version control (e.g., GitHub) and ML Platforms (e.g., Databricks, GCP Vertex AI, etc.)
  • Familiarity with Medicare, Medicaid, and value-based models of health care
  • Familiarity with Epic Electronic Health Record (EHR) system
Education:
  • A PhD or a Master's degree with 1+ years of relevant experience, or a Bachelor's degree with 3+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field.
Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $173,040.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/07/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

#J-18808-Ljbffr