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Healthcare Data Science Jobs (NOW HIRING)

Job Summary : Premise Health is a company dedicated to providing exceptional healthcare to large organizations and their people. The Data Science Analyst will leverage machine learning and ...

Stay current on the latest advancements in healthcare data science and machine learning. Qualifications: Minimum 5 years of experience in data science or a related field. Less ok too, if they have a ...

$60K - $61K/yr

Stay current with advancements in data science, statistical methods, and analytical tools relevant to healthcare operations. 12. Must pass Electronic medical record system Proficiency or ...

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Ability to design data models and curated datasets that support self-service analytics and data science teams * Knowledge of healthcare analytics, including population health and value-based care ...

Working experience with healthcare data standards and exchange formats - FHIR, HL7v2, and C-CDA. * Education: Master's degree in Data Science, Biostatistics, Health Informatics, Computer Science, or ...

Healthcare Data Architect

Dallas, TX

$63 - $81/hr

Ability to design data models and curated datasets that support self-service analytics and data science teams * Knowledge of healthcare analytics, including population health and value-based care ...

Healthcare Data Analyst - Join the Blue Ridge Care Team! Blue Ridge Care works to optimize the quality of life and well-being for those members of our community affected by aging or dealing with ...

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more ... The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field. * 2-5+ years of healthcare data analytics experience. * Knowledge of Medicare Advantage ...

This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals ...

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and fun to hang out with. We invest in ...

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required. * Master ...

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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.
Manager, Healthcare Data

Manager, Healthcare Data

CAN Community Health Inc.

Saint Petersburg, FL • On-site

$92K - $125K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Key responsibilities

  • Supervise, mentor, and provide daily direction to Healthcare Data Analysts, ensuring quality deliverables and professional development.

  • Coordinate analytics project assignments, timelines, and resource allocation in alignment with departmental priorities.

  • Design, develop, and maintain data visualizations, dashboards, and reports using Power BI Desktop and Power BI Report Server.


CAN Community Health rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Description

CAN Community Health is now hiring a Manager, Healthcare Data

Schedule: Full-Time | Day Shift | Monday-Thursday 8:00 am - 5:00 pm Friday 8:00 am - 12:00 pm

Salary: $92,000-$125,000 annually based on experience


Are you passionate about patient care and ready to make a difference every day? We are looking for someone who is passionate about serving the needs of individuals impacted by HIV, Hepatitis C, STI's, and other infectious diseases. You will become part of our professional team that drives home our Company's Mission and Values.


We have received recognition for more than six (6) years NPT's Best Non-Profit to Work for Award.


Why You'll Love It Here

  • Competitive pay 
  • Generous paid PTO and Sick time 
  • 11 Paid Company Holidays 
  • Paid training and certification support
  • Health, dental, vision, with generous company contribution, paid life and disability plans & retirement plan with generous match of up to 8% of your contribution additional match of 1%. 
  • Tuition Reimbursement Plan 
  • Other voluntary plans are available to support you and your family
  • Career growth opportunities in a supportive environment

What You'll Do

The Manager, Healthcare Data, is a mid-level leadership position responsible for overseeing the day-to-day operations of the Healthcare Data Analyst team. This role serves as the primary point of contact for analytics project coordination, quality assurance, and team development. The Healthcare Data Manager works closely with the Director of Data Analytics to translate strategic data initiatives into actionable team deliverables while ensuring data integrity, regulatory compliance, and operational efficiency. This position requires strong technical proficiency in healthcare analytics, demonstrated leadership capabilities, and the ability to mentor and develop team members.

  • Supervise, mentor, and provide daily direction to Healthcare Data Analysts, ensuring quality deliverables and professional development
  • Coordinate analytics project assignments, timelines, and resource allocation in alignment with departmental priorities
  • Provide operational oversight of database administration activities, including review of database design and architecture, coordination of backup and recovery strategies with IT Infrastructure, monitoring of database performance optimization, and management of user access permissions in compliance with HIPAA and PHI security requirements
  • Serve as the primary quality assurance checkpoint for team deliverables, reviewing reports, dashboards, and data analyses for accuracy and completeness
  • Develop and maintain standardized processes, templates, and documentation for recurring analytics workflows
  • Collaborate with the Director of Data Analytics to identify team training needs and coordinate professional development opportunities
  • Design, develop, and maintain data visualizations, dashboards, and reports using Power BI Desktop and Power BI Report Server
  • Write and optimize SQL queries for data extraction, transformation, and analysis from multiple healthcare data sources
  • Support 340B program analytics, compliance reporting, and quality assurance initiatives
  • Assist with Ryan White, HRSA, and other grant reporting requirements by ensuring timely and accurate data deliverables

Supervisory Responsibilities

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of an employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.  

Requirements

Education/Professional:

  1. Bachelor's degree in data science, Statistics, Public Health, Health Informatics, Computer Science, Business Administration (healthcare) or related field required.
  2. 4+ years of progressive experience in data analytics, with at least 1 year in a supervisory or lead role, preferably within healthcare, public health, or nonprofit sectors.
  3. Proven experience with healthcare data (claims, EMR/EHR, pharmacy, clinical quality measures, 340B, Ryan White)
  4. Microsoft certification preferred.
  5. Experience with Salesforce platforms including Health Cloud and MuleSoft integration (preferred)
  6. Experience with Power BI Report Server for enterprise reporting (required)
  7. Proficiency with MS365 Power Platform (Power BI Desktop, Power Apps, Power Automate) (required)
  8. Strong SQL programming skills for data extraction, transformation, and analysis (required)
  9. Must be able to operate a motor vehicle and have valid insurance and driver's license.

Must be able to pass a Level I and Level II Background check as required (https://info.flclearinghouse.com)

CAN Community Health, Inc. is an equal opportunity employer that is committed to diversity and values the ways in which we are different. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law.