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Healthcare Data Science Jobs in Washington (NOW HIRING)

Varsity Tutors

Data Science Tutor

Leesburg, VA · 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 ...

Varsity Tutors

Data Science Tutor

Rockville, MD · 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 ...

Varsity Tutors

Data Science Tutor

Washington, DC · 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 ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · 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 ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · 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 ...

Varsity Tutors

Data Science Tutor

Bowie, MD · 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 ...

Varsity Tutors

Data Science Tutor

Laurel, MD · 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 ...

Varsity Tutors

Data Science Tutor

College Park, MD · 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 ...

Analytica

Junior Data Scientist

Bethesda, MD · On-site +1

The data scientist will support a variety of military healthcare tasks including advanced statistical analytics, data collection and processing, statistical, AI, and machine learning model building ...

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Showing results 21-40

All JobsHealthcare Data Science JobsHealthcare Data Science Jobs in Washington

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 Aug 8, 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 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 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 are popular job titles related to Healthcare Data Science jobs in Washington? For Healthcare Data Science jobs in Washington, the most frequently searched job titles 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:
Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Senior Business Analyst / Data Quality Assurance Engineer -- Federal Healthcare

Rackner

Falls Church, VA • Remote

Full-time

Posted 18 days ago

Job description

Senior Business Analyst / Data Quality Assurance Engineer — Federal Healthcare

Location: Remote
Clearance: Active DoD Secret clearance
Employment Type: Full-time

Turn Complex Healthcare Data into Trusted, Mission-Ready Solutions

Join Rackner to improve the quality, reliability, and usability of data supporting mission-critical federal healthcare systems.

This is a QA-focused role with requirements support. You will partner with analysts, engineers, product owners, and subject-matter experts to validate healthcare data, applications, reports, APIs, and integrations across the delivery lifecycle.

You will do more than execute predefined test cases. You will help shape test strategy, build and maintain automated tests, investigate data issues with SQL, and connect requirements to measurable validation outcomes.

Business need → testable requirement → validated data → trusted release

In this role, you will:

  • Own testing activities from planning through defect resolution and release validation.
  • Build technical depth across SQL, databases, ETL processes, APIs, and cloud applications.
  • Strengthen automated testing, data profiling, traceability, and quality practices.
  • Support healthcare systems where accurate, secure, and dependable data matters.

What You'll Do

  • Review business and technical requirements and translate them into clear test conditions, acceptance criteria, and validation strategies.
  • Support requirements development through stakeholder discussions, user stories, process analysis, and backlog refinement.
  • Build, execute, and maintain automated and manual tests using established tools and frameworks.
  • Develop test plans and test cases for healthcare data, applications, reports, APIs, and user interfaces.
  • Validate data-ingestion and ETL processes by comparing source data, transformation rules, and target outputs.
  • Write SQL queries and joins to investigate data quality, confirm business rules, and identify missing, duplicate, inconsistent, or unexpected records.
  • Perform functional, system, integration, regression, component, and performance testing.
  • Maintain traceability between requirements, test coverage, defects, and delivery outcomes.
  • Support user-acceptance testing, defect triage, root-cause analysis, and resolution.
  • Partner with developers, analysts, product owners, and subject-matter experts to resolve complex application and data issues.
  • Document test results, risks, defects, and recommendations for technical and non-technical stakeholders.
  • Help improve testing tools, methodologies, and automation strategies.

What You'll Bring

  • Bachelor's degree in computer science, information technology, data science, engineering, or a related discipline—or equivalent relevant experience.
  • Five or more years supporting software testing, data-quality assurance, business analysis, or requirements validation in complex systems environments.
  • Hands-on ability to build, execute, and maintain automated and manual tests.
  • Background developing test plans, test cases, test scripts, user stories, and acceptance criteria.
  • Proficiency with SQL data-validation queries, joins, and relational databases.
  • Knowledge of ETL, data-integration, and source-to-target validation.
  • Familiarity testing applications, reports, APIs, user interfaces, and data services.
  • Understanding of Agile delivery, backlog refinement, sprint planning, and iterative development.
  • Strong analytical, written communication, and problem-solving skills.

Preferred Experience

  • Federal healthcare, military healthcare, Department of Veterans Affairs, or other government health-program background.
  • Knowledge of protected health information and HIPAA-aligned data practices.
  • Azure DevOps or a similar requirements and test-management platform.
  • Exposure to cloud-hosted applications, databases, and data services.
  • Healthcare data, reports, APIs, or interoperability workflows.
  • Use of AI-assisted tools for requirements analysis, data profiling, test development, SQL validation, or defect investigation.

Why Rackner

At Rackner, you will have the opportunity to build technology that supports critical healthcare and public-sector missions.

You will work on more than isolated requirements or testing tasks. This role combines hands-on data validation, automated testing, quality ownership, and close collaboration across software, data, cloud, and mission-focused teams.

Rackner has delivered more than $30 million in recent federal awards and supports mission-critical work across defense, civilian, and public-sector environments. We are looking for a senior BA/QA professional who can build on that momentum by improving data quality, strengthening delivery confidence, and helping teams produce dependable solutions with meaningful mission impact.

Benefits & Professional Growth

  • Competitive compensation
  • Company-supported certifications aligned with current and future program work
  • 401(k) with 100% company match up to 6%
  • Medical, dental, vision, life, and disability coverage
  • Paid time off and company holidays
  • Remote-work support and home-office equipment plan
  • Fitness and wellness reimbursement
  • Weekly pay schedule
  • Professional-development and future growth opportunities

Apply

If you are a Business Analyst or Data Quality Assurance professional who wants broader ownership across requirements, automated testing, and healthcare data quality, we would like to hear from you.

Please be prepared to discuss a recent project you supported from requirements through validation, including your individual contribution and the outcome.