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Science Visualization Jobs (NOW HIRING)

Peraton

Data Visualization Specialist

Herndon, VA

$104K - $166K/yr

D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology ... Data visualization, BI engineering, or analytics platform experience with at least 3 years leading ...

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology ... Data visualization, BI engineering, or analytics platform experience with at least 3 years leading ...

Peraton

Data Visualization Specialist

Herndon, VA · On-site

$104K - $166K/yr

D. in Computer Science, Cybersecurity, Data Science, Information Systems, Information Technology ... Data visualization, BI engineering, or analytics platform experience with at least 3 years leading ...

Umusic

Data Visualization Developer

Santa Monica, CA · On-site

Build the visualization layer of UMG's Consumer Data Products-designing and developing advanced ... Partner with Product, Design, Data Engineering, and Data Science to translate analytical ...

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Science Visualization information

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$24.5K

$48.4K

$79K

How much do science visualization jobs pay per year?

As of Jun 17, 2026, the average yearly pay for science visualization in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

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.

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.
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Science Visualization jobs near you
AI-Driven Autonomous Visualization Postdoc

AI-Driven Autonomous Visualization Postdoc

Los Alamos National Laboratory

Los Alamos, NM • On-site

$53K - $72K/yr

Full-time

Posted 12 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a postdoctoral research associate in machine learning for scientific visualization to work on developing agentic workflows and optimizing scientific visualizations.
Responsibilities:
• Come join the brightest minds at the most innovative R&D facility supporting our national security!
• As the postdoc, you will work in conjunction with a small team of Ph.D. staff scientists as part of a research project focused on building agentic workflows that are able to generate, evaluate, and optimize scientific visualizations.
• This project will develop a domain-specific language (DSL), multimodal knowledge graphs, and an AI model of human perception to make the visualizations reliable, explainable, and human interpretable.
• You should have a strong publication record, an open mind to explore boundaries of scientific fields, and ability to effectively communicate with researchers with varied backgrounds.
• As the postdoctoral research associate, you would be expected to publish results of the work in high-impact peer-reviewed journals and present at well-known conferences.
Qualifications:
Required:
• Expertise in data science and/or machine learning with direct experience using deep neural networks, convolutional neural networks, transformers and/or diffusion models
• Experience with python programming and machine learning frameworks for neural networks such as PyTorch or JAX/Flax
• Strong track record of peer-reviewed publications within computer science, data science, machine learning, visualization, or related disciplines
• Good presentation, oral, and written communication skills
• Ph.D. in machine learning, mathematics, computer science, data science, or a related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted.
Preferred:
• Experience developing advanced AI/ML systems, including agentic workflows, large language models (LLMs), and neural network architectures
• Experience in visual and perceptual computing, such as scientific visualization, computer vision, image processing, multimodal knowledge graphs, or neural radiance fields (NeRFs)
• Demonstrated experience in interdisciplinary science, especially in the areas mentioned above
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

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