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Healthcare Data Science Jobs (NOW HIRING)

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Jackson, MS 39201 Duration: 12 Months (Onsite Role) The Medicaid Data Scientist will work with the client's data, business, and IT teams to develop advanced reports and conduct analysis of healthcare ...

... Health Record system, and clinical data needs. Candidate must be able to work on site. Local ... care setting · Demonstrated ability to communicate clinical and data findings clearly to non ...

Data Engineer

Chesterfield, MO · On-site

$113K - $136K/yr

Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data. Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure ...

About the Role The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps ...

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data. Key Responsibilities • Design, build, and optimize ETL/ELT pipelines using Azure ...

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Healthcare Data Science information

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$46K

$165K

$243.5K

How much do healthcare data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for healthcare data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Healthcare data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or senior roles. Achieving this level often requires a strong educational background, certifications, and a track record of impactful projects.

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.

Is 40 too late for data science?

Healthcare Data Science is a field that values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming, statistics, and tools like Python or R can enable a successful shift regardless of age. Continuous learning and relevant certifications can enhance employability at any age.

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 do data scientists in healthcare do?

Healthcare data scientists analyze medical data to identify patterns, improve patient outcomes, and support clinical decision-making. They use statistical tools, programming languages like Python or R, and machine learning techniques to interpret large datasets from electronic health records, imaging, and research studies.

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

A degree in health data science prepares individuals for roles such as healthcare data analyst, data scientist, or informaticist, where they analyze medical data, develop predictive models, and support clinical decision-making. Skills in programming, statistics, and knowledge of healthcare systems are essential for these positions.

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.
More about Healthcare Data Science jobs
What cities are hiring for Healthcare Data Science jobs? Cities with the most Healthcare Data Science job openings:
What are the most commonly searched types of Healthcare Data Science jobs? The most popular types of Healthcare Data Science jobs are:
What states have the most Healthcare Data Science jobs? States with the most job openings for Healthcare Data Science jobs include:
Infographic showing various Healthcare Data Science job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.