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Healthcare Data Science Jobs in Virginia (NOW HIRING)

Arka Infotech Inc

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana ...

Varsity Tutors

Data Science Tutor

Richmond, 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

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

Virginia Beach, 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

Charlottesville, 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

Salem, 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

Norfolk, 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

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

Blacksburg, 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 ...

Somatus, Inc.

Senior Value-Based Care Data Analyst

Mclean, VA · 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 ...

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Showing results 1-20

All JobsHealthcare Data Science JobsHealthcare Data Science Jobs in Virginia

Healthcare Data Science information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do healthcare data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for healthcare data science in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 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 Virginia? The most popular types of Healthcare Data Science jobs in Virginia are:
What are popular job titles related to Healthcare Data Science jobs in Virginia? For Healthcare Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Science jobs in Virginia look for? The top searched job categories for Healthcare Data Science jobs in Virginia are:
What cities in Virginia are hiring for Healthcare Data Science jobs? Cities in Virginia with the most Healthcare Data Science job openings:
Healthcare Data Science jobs near you
Infographic showing various Healthcare Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Health Policy Data Scientist

LMI Consulting, LLC

Tysons, VA • On-site

$90K - $130K/yr

Other

Posted 8 days ago

Job description

Health Policy Data Scientist
Job Locations US-Remote | US-VA-Tysons
Job ID 2026-14241 # of Openings 1 Benefit Type Salaried High Fringe/Full-Time
Overview

LMI is seeking a skilled, full-time Health Policy Data Scientist. The successful applicant will become part of a team dedicated to policy, operations, and analytical support work for the Department of Health and Human Services (HHS), specifically the Center for Medicare and Medicaid Innovation (CMMI) within the Centers for Medicare and Medicaid Services (CMS).

Success in this role comes from a combination of a skill in data analysis, exceptional attention to detail, commitment to cross-functional teamwork, outstanding client ethic, and a desire to consistently improve in an organization that is dedicated to excellence.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Responsibilities

Specific responsibilities include:

    Lead the analysis and modeling of healthcare data using machine learning, statistical modeling, and advanced analytics.
  • Develop, test, validate, and deploy machine learning models aligned with broader strategic objectives.
  • Analyze healthcare, compliance, and technical data to develop and maintain interactive reporting templates and dashboards that support program oversight.
  • Communicate tool functionality to diverse audiences and translate stakeholder feedback into technical enhancements.
  • Utilize, analyze, and manipulate multiple datasets to produce complex deliverables.
  • Proactively identify and guide clients through complex data and program operations to address key issues and assess downstream impacts.
  • Develop and maintain a strong understanding of complex, organization-specific datasets.
  • Perform routine and ad hoc analyses related to program operations, health policy, and system functionality, and clearly communicate findings to non-technical stakeholders.
  • Mentor and support technical team members through knowledge sharing and collaboration.
  • Foster cross-functional collaboration and contribute to a team-oriented environment.
  • Demonstrate a strong client service mindset and a commitment to continuous improvement in a culture of excellence.
  • Deliver high-quality work under tight deadlines while proactively communicating support needs and project risks.
Qualifications

Required:

  • Applied experience with data modeling, including Scikit-learn, XGBoost, regression modeling, classification modeling, time series forecasting, model evaluation, and model monitoring & retraining.
  • Experience developing and deploying machine learning or time series models.
  • Demonstrated experience designing and deploying data science, machine learning, and statistical models in fast-paced environments.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field.
  • 5+ years of experience developing automated processes using Python, DAX, Power Query, or similar programming languages.
  • Strong proficiency with Microsoft Office, particularly Excel and PowerPoint.
  • Experience with data analysis, data visualization, and reporting.
  • Excellent written and verbal communication skills, with the ability to translate technical analyses into clear, actionable insights for non-technical audiences.
  • Ability to analyze test results and develop, review, and refine code as needed.
  • Experience delivering high-quality analytical products under both rapid turnaround (e.g., one hour) and long-term (e.g., one month or more) timelines.
  • 5+ years of client-facing experience in data analysis, data visualization, and reporting.

Desired:

  • Master's degree or other relevant graduate degree.
  • 2-4 years of experience supporting federal consulting engagements.
  • Experience working with healthcare claims data and a strong understanding of healthcare data structures.

Target salary range: $90,426 - $130,647

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job Locations
US-Remote
US-VA-Tysons

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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