1

Healthcare Data Science Jobs in Washington (NOW HIRING)

Data Science Tutor

Fairfax, VA ยท 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

Alexandria, VA ยท 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

Washington, DC ยท 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

Rockville, MD ยท 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

Leesburg, VA ยท 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

Laurel, MD ยท 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

Bowie, MD ยท 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

College Park, MD ยท 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 ...

Senior Value-Based Care Data Analyst

Mclean, VA ยท On-site

$87K - $110K/yr

Care at Somatus goes beyond treatment. Through a whole-person approach, we deliver outcomes-driven ... Public Health, Health Informatics, Data Analytics, Statistics, Economics, Computer Science ...

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Health Data Engineer - Mid

Tysons, VA ยท On-site

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Data Analyst - 4

Columbia, MD ยท On-site

$90 - $120/hr

Analyze large healthcare datasets to identify patterns, trends, and anomalies. * Support fraud ... Bachelor's degree in Computer Science, Data Science, Information Systems, or related field. * 5+ ...

Showing results 21-40

Healthcare Data Science information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do healthcare data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for healthcare data science in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

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 can you do with a degree in healthcare data science?

A degree in healthcare data science prepares individuals for roles such as healthcare data analyst, data scientist, or informaticist, where they analyze medical data, develop predictive models, and improve patient outcomes. Skills in programming, statistics, and knowledge of healthcare systems are essential, and familiarity with tools like Python, R, and electronic health records is often required.

What are the most commonly searched types of Healthcare Data Science jobs in Washington?

The most popular types of Healthcare Data Science jobs in Washington are:

What job categories do people searching Healthcare Data Science jobs in Washington look for?

The top searched job categories for Healthcare Data Science jobs in Washington are:

Infographic showing various Healthcare Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Health IT Data Scientist (Hybrid / Telework Eligible)

Red Pulley, Inc

Washington, DC โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Scientist II to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role applies statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data to generate insights that inform strategic planning, performance monitoring, and evidence-based decision-making.
All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments.
U.S Citizenship Required
Location: Washington, DC Metro Area, DMV Area
Clearance: Public Trust - Preliminary and Complete Fitness Determination Required
Employment Type: Full-Time
Minimum Qualifications:
Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field
Advanced expertise applying statistical, predictive, and exploratory analytics to healthcare and operational data
Experience designing and implementing data models, forecasts, and analytic methodologies
Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics
Experience conducting cost modeling, trend analysis, and scenario forecasting
Skill in communicating complex analytic findings through reports, dashboards, and executive briefings
Requirements
Preferred Qualifications
Experience collaborating with Data Engineers to operationalize and scale analytic models
Experience developing repeatable analytic frameworks and methodologies for enterprise use
Familiarity with federal healthcare data governance, privacy, and security requirements
Experience supporting high-priority, time-sensitive analytical requests for senior leadership
Key Responsibilities
Design and execute advanced data analysis, predictive models, and statistical methodologies using healthcare and operational data
Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning
Collaborate with Data Engineers to operate analytic models and ensure scalability
Develop repeatable analytic frameworks and methodologies for enterprise use
Validate data sources, analytic assumptions, and model outputs to ensure accuracy and reliability
Translate analytic results into actionable insights through reports, dashboards, and executive briefings
Support leadership requests for high-priority, time-sensitive analyses
Document analytic methodologies, assumptions, and limitations
Benefits:
At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes:
  • Competitive compensation aligned with experience and market conditions
  • 401(k) retirement plan with company matching to support long-term financial security
  • Comprehensive health coverage, including medical, dental, and vision insurance
  • Health Savings Account (HSA) and Flexible Spending Account (FSA) options
  • Life insurance coverage for added peace of mind
  • Generous paid time off (PTO) to support work-life balance
  • Parental leave for growing families
  • Professional development assistance, including training and certification support
  • Tuition reimbursement to encourage continued education and career advancement

Our benefits reflect Red Pulley's commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive.
Affirmative Action/EEO statement
Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.