ZipRecruiter

Log In

1

Health Data Scientist Jobs in Virginia (NOW HIRING)

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are ...

Arenatechnologies

Data Scientist

Alexandria, VA · On-site

$105 - $125/hr

We have an immediate need for a Data Scientist to provide onsite support in Alexandria, VA ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are ...

Analytica

Data Scientist

Falls Church, VA · On-site

$110 - $150/hr

Analytica is seeking a Data Scientist II to support a defense health mission-critical program. The ideal candidate will be comfortable working directly with clients in a consulting and delivery ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are ...

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... Robust Health & Insurance Benefits - Choose from a variety of Medical, Dental, Vision, and ...

Booz Allen Hamilton

Data Scientist

Chantilly, VA · On-site

$99 - $225/hr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

GRVTY

Data Scientist

Chantilly, VA · On-site

$150K - $250K/yr

What You'll be Owning GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable ... healthcare, financial wellness, retirement planning, family assistance, continued education, and ...

Vervic Inc.

Data Scientist

Springfield, VA · On-site

Health insurance * Paid time off * Vision insurance Role: Senior Data Scientist. Location: Sneads Ferry, NC, or NOVA (Springfield, VA) - 100% onsite. We're seeking an exceptional Senior Data ...

New

next page

Showing results 1-20

All JobsHealth Data Scientist JobsHealth Data Scientist Jobs in Virginia

Health Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do health data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for health data scientist in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What does a health data scientist do?

A Health Data Scientist analyzes complex healthcare data to improve patient outcomes, optimize operations, and support medical research. They leverage statistical modeling, machine learning, and data visualization to uncover insights from electronic health records, clinical trials, and other health-related sources. Their work helps healthcare providers make data-driven decisions, enhances public health strategies, and contributes to medical innovations. Effective communication and domain knowledge in healthcare are crucial for translating data findings into actionable recommendations.

What types of projects do health data scientists typically work on within healthcare organizations?

Health Data Scientists often work on projects such as analyzing patient outcomes, predicting disease trends, optimizing hospital workflows, and ensuring data quality for clinical research. They may collaborate closely with doctors, nurses, IT professionals, and administrators to translate raw health data into actionable insights that drive improvements in care delivery. Day-to-day tasks can include building predictive models, developing dashboards for real-time data monitoring, and identifying patterns to inform public health initiatives. This collaborative and impactful work environment offers the opportunity to see direct results from your analyses, as your findings can help shape critical healthcare decisions and policies.

What are the key skills and qualifications needed to thrive as a health data scientist, and why are they important?

To thrive as a Health Data Scientist, you need a strong background in statistics, data analysis, and a relevant degree in fields such as data science, public health, or biostatistics. Familiarity with programming languages like Python or R, data visualization tools, and experience with healthcare databases or platforms like SQL and HL7 are often required, with certifications such as Certified Health Data Analyst (CHDA) seen as an asset. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders help individuals excel. These abilities are critical for extracting valuable insights from health data, supporting decision-making, and improving healthcare outcomes.

What are popular job titles related to Health Data Scientist jobs in Virginia?

For Health Data Scientist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Health Data Scientist jobs in Virginia look for?

The top searched job categories for Health Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Health Data Scientist jobs?

Cities in Virginia with the most Health Data Scientist job openings:

Health Data Scientist jobs near you
Infographic showing various Health Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Exploitation Specialist/Data Scientist 11

Falls Church, VA • On-site

Select Search Associates LLC
See more jobs at Select Search Associates LLCexternal

Full-time

Re-posted 9 days ago

Job description

Overview
We are seeking an experienced Exploitation Specialist/Data Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.
This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.
As a Data Scientist, you will play a key role in designing, implementing, and maintaining the data architecture that supports AI/ML model development, testing, and evaluation. You will develop scalable data pipelines, integrate data from emerging sensors and platforms, and ensure data is standardized, accessible, and compliant with Government data governance requirements. Working closely with engineers, imagery scientists, and mission analysts, you will help deliver reliable, high-quality datasets that enable advanced analytics and operational decision-making.
Required Qualifications
  • 9+ years of relevant experience in data science, automation, software development, data engineering, database integration, GEOINT support, or related technical disciplines. A combination of education, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience connecting multiple databases and enterprise systems to automate data collection, transformation, and dissemination.
  • Experience automating repetitive business or analytic tasks using scripts and workflows.
  • Experience gathering and disseminating metrics and operational data.
  • Demonstrated ability to identify process inefficiencies and implement automation solutions that improve workflow performance.
  • Strong analytical and problem-solving skills.
  • Effective written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Preferred Qualifications
  • Experience supporting NGA enterprise technologies and environments, including NGA CORE, NGA MLOps, Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
  • Experience implementing processes and tools within organizations utilizing the Scaled Agile Framework (SAFe).
  • Experience developing dashboards and data visualizations to monitor operational pipeline health, data availability, currency, throughput, and overall system performance.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines to ingest, process, and store data from emerging sensors and collection platforms.
  • Create and manage database schemas, tables, and supporting infrastructure while implementing automated data quality monitoring and health alerts.
  • Develop API-based workflows to securely move sensor data between Government data platforms in accordance with program requirements.
  • Ensure all sensor data complies with Government-defined schemas, formatting standards, metadata requirements, and data governance policies.
  • Assess the impact of new sensor data on existing databases, metadata models, APIs, schemas, and ETL processes to support seamless integration into operational data pipelines.
  • Develop preprocessing and standardization workflows to prepare data for AI/ML model training, testing, and evaluation. Activities may include format conversion, imagery chipping, orthorectification, metadata normalization, and other transformation processes required to produce high-quality analytical datasets.
  • Collaborate with cross-functional teams to optimize data workflows, improve pipeline reliability, and support the delivery of mission-ready datasets for advanced analytics and machine learning applications.