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Healthcare Data Science Jobs in Virginia (NOW HIRING)

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K - $160K/yr

Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master's degree preferred. * 7+ years of experience working with healthcare ...

New

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K - $160K/yr

Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master's degree preferred. * 7+ years of experience working with healthcare ...

New

... who care so that you can deliver on the following responsibilities: * Partner across Audit ... As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life ...

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.

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.

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 IT Data Scientist

Alexandria, VA ยท On-site +1

$110K - $120K/yr

Master's degree in Data Science or related discipline. * Experience supporting Federal healthcare programs. * AI/ML platform experience. * Experience with Power BI and Tableau. Compensation Expected ...

Data Science Engineer, Lead

Mclean, VA ยท On-site

$99 - $225/hr

Benefits: health, life, disability, financial, and retirement benefits, paid leave, professional ... care. Full-time and part-time employees working at least 20 hours a week on a regular basis are ...

Showing results 21-40

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 Sep 5, 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 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 Virginia?

The most popular types of 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:

Infographic showing various Healthcare Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Sr. Data Analyst

Commence

Virginia Beach, VA โ€ข On-site

$130K - $160K/yr

Full-time

Posted 2 days ago

New


Job description

Description

At Commence, we're the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.ย 


With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.?ย 

Requirements

The Senior Data Analyst will work closely with Data, Technology, and Operational teams to analyze complex healthcare datasets, develop analytical models, and generate actionable insights that inform internal products, client solutions, and strategic decisions. This role plays a key part in shaping how clinical and administrative data are ingested, curated, and leveraged across the organization. The Senior Data Analyst collaborates with engineering, product, and subject matter experts to develop scalable analytics, ensure data quality, and support data-driven decision-making. The ideal candidate combines strong analytical and statistical skills with a deep understanding of healthcare data, regulatory context, and business impact.ย 

  • Analyze and interpret large-scale healthcare datasets (e.g., claims, EHR, FHIR, registries) to identify trends, outliers, and key performance indicators that inform clinical, operational, and strategic initiatives.
  • Lead complex analytical efforts to evaluate healthcare performance, utilization patterns, and program outcomes across diverse datasets.
  • Collaborate with data engineers, product managers, and domain subject matter experts to define data requirements, metrics, and quality controls that support reliable analytics and reporting.
  • Build and maintain curated datasets, data models, and dashboards for internal and external stakeholders using SQL, Python, or business intelligence tools.
  • Design and execute advanced analyses for clinical, operational, and policy use cases, including cohort definitions, utilization patterns, quality measurement, and risk stratification.
  • Develop and document business rules for data standardization, mapping, and transformation to support consistent and scalable analytics.
  • Support data validation, testing, and quality assurance for data pipelines and analytics-ready datasets, identifying anomalies and supporting root cause analysis.
  • Translate analytic findings into clear, compelling narratives and data visualizations in Qlik/ AWS Quicksight that support decision-making by technical and non-technical stakeholders.
  • Monitor key data health and performance metrics and support anomaly detection and ongoing data quality improvements.
  • Support data strategy and architecture decisions through domain-informed analysis, metric modeling, and collaboration with engineering and product teams.
  • Mentor junior analysts or cross-functional team members on best practices in data analysis, documentation, and data quality.


Qualifications

  • Bachelor's degree in Health Informatics, Public Health, Statistics, Computer Science, Data Science, or a related field; Master's degree preferred.
  • 7+ years of experience working with healthcare data, including EHR, claims, registries, or public health datasets.
  • Strong proficiency in SQL and at least one analytics-oriented programming language such as Python or R.
  • Experience building analytical datasets, dashboards, or reporting frameworks using tools such as Excel, Tableau, Power BI, or QuickSight.
  • Experience with Databricks, Snowflake, or other modern cloud/notebook-based data platforms.
  • Familiarity with healthcare data standards such as FHIR, HL7, ICD, CPT, and LOINC, and experience working with healthcare quality or performance measures.
  • Demonstrated ability to synthesize complex data and present findings to both technical and non-technical audiences.
  • Strong data validation, data governance, and documentation practices.
  • Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical teams.
  • Strong problem-solving skills, attention to detail, and a commitment to continuous learning and improvement.
  • Experience working in a healthcare or regulated environment.
  • Experience working in Agile development environments and collaborating within cross-functional product or engineering teams.


Additional Requirements

  • Understanding of data governance and security frameworks relevant to healthcare such as NIST or HITRUST.
  • Prior experience working with government agencies such as CMS, VA, or DoD, or with payer or provider organizations.
  • Knowledge of healthcare delivery systems, policy frameworks, and value-based care programs.
  • Experience designing or supporting dashboards or reports for operational, clinical, or executive audiences.
  • Master's degree or professional certifications in Data Analytics, Health Informatics, or a related field.


ย *Commence' headquarters are in Virginia Beach, VA, however we are open to remote candidates in the following states:ย ย  AZ, AR, CO, DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MS, MO, MT, NC, NE, NV, NY, OH, OK, PA, SC, TN, TX, VA, DC, WI, and WV* ย 

Work Environment/Physical Demands


The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This is a remote position. While performing the duties of this job, the employee regularly works in a climate-controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.ย 



Commence is an equal employment opportunity for employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law.ย ย 



Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.ย