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Science Visualization Jobs in Virginia (NOW HIRING)

SAIC

Front End Developer - GIS Visualization

Vienna, VA · On-site +1

$160K - $200K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Responsibilities * Design, develop, and maintain front‑end interfaces and visualization ...

Nowges

Senior Data/Visualization Engineer

Fort Belvoir, VA · On-site

$115K - $130K/yr

Senior Data/Visualization Engineer Full Time Fort Belvoir, VA, US 30+ days ago Requisition ID: 1374 ... Education -Bachelor's degree in Computer Science, Information Systems, Business Analytics ...

SAIC

Front End Developer - GIS Visualization

Vienna, VA · On-site

$160K - $200K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Design, develop, and maintain front-end interfaces and visualization components. * Partner with ...

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Science Visualization information

What is science visualization?

Science visualization is the process of creating visual representations of scientific data or concepts to make them easier to understand and communicate. This can include charts, graphs, animations, 3D models, and interactive graphics. Science visualization helps researchers, educators, and the public interpret complex information, discover patterns, and share findings effectively. It combines expertise in science, data analysis, and visual design.

What are the key skills and qualifications needed to thrive as a science visualization specialist?

To thrive as a Science Visualization Specialist, you need a solid background in scientific concepts, data analysis, and visual storytelling, often supported by a degree in science, graphic design, or a related field. Proficiency with visualization tools such as Python (Matplotlib, Seaborn), R, Adobe Creative Suite, or 3D modeling software is typically required. Strong communication, creativity, and attention to detail help translate complex data into clear, engaging visuals for diverse audiences. These skills are crucial for accurately conveying scientific information and fostering understanding among stakeholders and the public.

How does a science visualization professional typically collaborate with researchers and other stakeholders during a project?

Science Visualization professionals often work closely with researchers, subject matter experts, and communication teams to accurately represent complex data and scientific concepts. Early in a project, they attend meetings to understand the research goals and identify key messages. Throughout the process, they maintain open communication to ensure that visualizations are both scientifically accurate and visually engaging. This collaboration may involve iterative feedback sessions, adjustments to visual elements, and discussions about the best formats for target audiences. Such teamwork is essential for producing effective and credible visual content.

What is the difference between Science Visualization vs Scientific Illustrator?

AspectScience VisualizationScientific Illustrator
Required CredentialsDegree in science, visualization, or related fields; skills in 3D modeling and visualization softwareDegree in fine arts, illustration, or related fields; proficiency in traditional and digital illustration tools
Work EnvironmentResearch labs, universities, media companies, scientific institutionsPublishing houses, research institutions, freelance work, scientific publications
Employer & Industry UsageUsed by scientists and educators to create visual data representationsUsed by publishers, researchers, and museums to produce detailed scientific illustrations

Science Visualization focuses on creating digital visual representations of scientific data and concepts, often using 3D modeling and animation. Scientific Illustrators produce detailed, hand-drawn or digital illustrations to communicate scientific ideas visually. While both roles require scientific understanding, visualization emphasizes data-driven visuals, whereas illustration emphasizes artistic accuracy and detail.

What jobs use scientific illustration?

Scientific illustration is used in roles such as scientific illustrators, medical illustrators, and biological artists who create detailed visuals for textbooks, research publications, and educational materials. These professionals often work in laboratories, research institutions, or freelance settings, utilizing tools like Adobe Illustrator and Photoshop, and may require a background in biology or art.

What are popular job titles related to Science Visualization jobs in Virginia?

For Science Visualization jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in Virginia look for?

The top searched job categories for Science Visualization jobs in Virginia are:

What cities in Virginia are hiring for Science Visualization jobs?

Cities in Virginia with the most Science Visualization job openings:

Science Visualization jobs near you
Infographic showing various Science Visualization job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Software Engineer (ML Visualization & Tooling)

Arlington, VA • On-site

Cynnovative
Internet and IT • 1 - 10 employees
Learn more about Cynnovativeexternal

Other

This job post has expired today. Applications are no longer accepted.

Job description

At Cynnovative, we leverage machine learning, computer science, and software engineering to address high-impact problems in the cyber domain, specifically those which are critical to U.S. national security. We primarily extend fundamental research to invent, design, develop, and deploy prototype solutions that support persistent problems in this domain.

Job Overview

As a Software Engineer (ML Visualization & Tooling) at Cynnovative, you will be responsible for developing user interfaces and internal tools that enable interaction with LLM experimentation workflows. This role is critical to making machine learning systems usable, intuitive, and accessible in support of U.S. national security efforts.

NOTE: This role requires an active TS/SCI security clearance and is located on-site in Northern Virginia.

Responsibilities May Include

Develop internal tools and user interfaces for ML experimentation

  • Build applications to launch, configure, and monitor experiments
  • Enable rapid iteration through intuitive and responsive tooling

Design and implement data visualization dashboards

  • Visualize model outputs, experiment comparisons, and performance metrics
  • Build interactive views (e.g., tables, charts, distributions) for exploring results
  • Support analysis of large-scale experiment outputs

Integrate frontend applications with backend systems

  • Connect to APIs for experiment execution, data retrieval, and logging
  • Handle asynchronous workflows and real-time updates
  • Ensure performance and reliability of UI components

Support development of prototype user-facing applications

  • Build lightweight interfaces for demonstration and validation

Collaborate cross-functionally

  • Work with applied mathematicians and ML engineers to translate experimental workflows into intuitive user interfaces
Requirements Must Have
  • B.S. in Computer Science, Software Engineering, or related field
  • Strong communication skills and ability to collaborate across technical teams
  • Proficiency in modern frontend development
    • React, TypeScript, or similar frameworks
  • Experience building full-stack or frontend-heavy applications
    • API integration, state management, asynchronous data handling
  • Familiarity with backend technologies
  • Experience with version control systems, particularly Git
  • U.S. Citizenship and active TS/SCI security clearance
Desired Skills Nice To Have
  • Familiarity with ML/AI workflows or experimentation tools
  • Experience building data visualization tools
    • Plotly, Streamlit, or similar
  • Experience working with APIs
    • REST, GraphQL
  • Understanding of UX principles for technical or data-heavy applications
  • Experience deploying applications using Docker or cloud platforms
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