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Healthcare Data Science Jobs in Minnesota (NOW HIRING)

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 ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

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

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

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

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/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 ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$84K - $105K/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 ...

Mayo Clinic

Sr. Data Science Analyst - EOAM

Rochester, MN · On-site

$87K - $110K/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 ...

Mayo Clinic

Data Science Analyst

Rochester, MN

$102K - $143K/yr

... 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 ...

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Healthcare Data Science information

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$45.1K

$161.6K

$238.5K

How much do healthcare data science jobs pay per year?

As of Aug 1, 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, and why are they important?

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 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.
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, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Manager, Health Care Data Engineering

HealthPartners

Bloomington, MN • On-site

$63.77 - $95.65/hr

Full-time

Medical, Retirement

Re-posted 23 days ago

HealthPartners rating

7.6

Company rating: 7.6 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

184th of 887 rated healthcare providers

Job description


HealthPartners is hiring a Manager, Health Care Data Engineering. At HealthPartners, the mission is to provide simple and affordable healthcare. The organization uses data to improve patient and member experiences, enhance health outcomes, and reduce the overall cost of care.
The Data Engineering Manager leads a team responsible for building and optimizing data pipelines that support analytics, reporting, and enterprise decision-making. This team brings together data from multiple systems, standardizes it, and delivers reliable, usable data across the organization.
In this role, the manager coaches and supports a team of engineers and analysts working in agile environments, ensuring the delivery of high-quality, scalable data solutions. The position partners closely with internal IT teams, manages vendor relationships, and supports work that spans finance, actuarial, clinical, and operational areas.
The role oversees a team of 8 to 12 team members and reports to the Director of Enterprise Information Management. It plays a key part in advancing the transition to modern, cloud-based data platforms while maintaining strong operational performance and data quality.
This role has enterprise-wide impact by enabling teams across HealthPartners to access trusted data that drives insights, decision-making, and improved health outcomes.
Required Qualifications:
  • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field, or equivalent combination of education and experience.
  • Ten (10) years of progressive technology experience, including at least five (5) years with expert-level knowledge in one or more of the following domains: data management, software engineering, or infrastructure and operations (I&O).
  • Four (4) years of experience in business analytics, data science, software development, or data modeling
  • Five (5) years of technology leadership experience
  • Experience working within the healthcare industry, with an understanding of healthcare data, systems, and/or regulatory environments.
  • Proficiency in leveraging AI tools (e.g., Microsoft Copilot) to enhance productivity, streamline workflows, and support data-driven solutions.
  • Knowledge of Microsoft cloud architecture and scalable solutions including service and container orchestration
  • Demonstrates a high level of motivation and self-direction, with strong curiosity, creativity, and a proactive approach to problem-solving.
  • Demonstrates effective communication skills, with the ability to effectively collaborate with end users and engage with business leaders.
  • Demonstrates the ability to effectively support and collaborate within a diverse development and/or operations team environment.

Preferred Qualifications:
  • Experience with Microsoft ecosystem tools including Azure, Power BI, Copilot, and Databricks.
  • Exposure to agile/scrum
  • Collaborate effectively with product management, program management, engineers, and stakeholders.
  • Excellent analytical and critical thinking skills
  • Ability to influence without authority and thrive in an ambiguous environment.
  • Excellent change-management and navigation skills
  • Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure.
  • Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)

Hours/Location:
  • M-F; core business hours
  • The position follows a hybrid work model, with an expectation of onsite presence Tuesday through Thursday at the Bloomington corporate office.
  • This role does not have a formal on-call rotation; however, the manager serves as an escalation point and may occasionally be required to address issues outside of standard business hours.

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.
  • Build and lead a multidisciplinary "center of excellence" team of data engineers, machine learning engineers, automation specialists; inspire a culture of collaboration and support.
  • Serve as a system-wide thought leader on data lake strategy, ensuring alignment with strategic priorities of the plan, care group, and institute.
  • Support workforce management (across the entire employment continuum) for a team of data engineers.
  • Support and consult on our technology teams' data pipeline and AI deployments to ensure safe, equitable, and compliant adoption of AI across the enterprise.
  • Work with direct reports, stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand.
  • Partner with compliance, privacy, and security teams to ensure adherence to HIPAA, CMS, ONC, FDA, and research ethics requirements.
  • Collaborate with project team members (Product Owners/Managers, Engineering Leads, Data Scientists, Managers) to build efficient data driven platforms.
  • Present technical solutions, capabilities, considerations, and features in business terms, effectively communicate status, issues, and risks in a precise and timely manner.
  • Establish the technology roadmap and strategy within the team and across the organization.
  • Guide, mentor, influence, and adopt a cloud-first modern data architectural direction and consistently adopt the associated standards and best practices.
  • Support incident management and resolution best practices.
  • Support budgeting and capital planning efforts relating to data pipeline development.
  • Perform other duties as required, to meet division goals.

About Us
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 HealthAs 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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