1

Science Visualization Jobs in Seattle, WA (NOW HIRING)

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Proficiencywith data visualization tools (e.g.Power BI, Tableau) * Experience exploringlarge ...

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning ... visualization (MATLAB, Python, or similar; Fortran or HPC exposure valuable) • Familiarity with ...

Required : • PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning ... visualization (MATLAB, Python, or similar) • Familiarity with magnetic diffusion, circuit ...

... data science or analytics roles * Deep expertise with Python, SQL, and data visualization tools * Expertise with experimental design, causal inference, statistical modeling, and A/B testing ...

Senior, Data Scientist

Kent, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Redmond, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Lynnwood, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Everett, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Bothell, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Renton, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Sammamish, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Kirkland, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Senior, Data Scientist

Auburn, WA · On-site

$108K - $216K/yr

This role requires deep understanding of data ecosystems, quality standards, and visualization ... Extensive experience in data science and advanced statistical methods to develop and validate ...

Showing results 21-40

Science Visualization information

See Seattle, WA salary details

$27.9K

$55.1K

$89.9K

How much do science visualization jobs pay per year?

As of Sep 13, 2026, the average yearly pay for science visualization in Seattle, WA is $55,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $59,200.00 per year, depending on experience, location, and employer.

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 cities near Seattle, WA are hiring for Science Visualization jobs?

Cities near Seattle, WA with the most Science Visualization job openings:

Infographic showing various Science Visualization job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $55,070 per year, or $26.5 per hour.

Geospatial Analysis Data Science Support

Seattle, WA • On-site

Think Tank, Inc.
Photography Services • 11 - 50 employees

Full-time

Re-posted 5 days ago


Job description

*Position is Subject to Contract Award POSITION DESCRIPTION:Description of Duties:Integrate spatial and remotely sensed datasets across freshwater, estuarine, and nearshore marine habitats using advanced GIS analysis.Compute spatial indices from large datasets (e.g., prey availability, predator abundance, habitat conditions) for use in assessment tools.Contribute to incorporation of spatial datasets and indices into fish life cycle models used to evaluate management scenarios.Lead data processing and visualization; share compiled data, workflow protocols, and research products.Collect fish and environmental data in the field (harsh conditions; may involve driving vehicles/boats/trailers and occasional ship-survey assistance).Write reports, contribute to journal manuscripts, and present results at regional meetings and scientific conferences, as needed. EDUCATION & EXPERIENCE:Required:Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order, with emphasis in fisheries, ecology, natural sciences, mathematics, statistics, oceanography, or hydrology.Experience: Three (3) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. Desired:Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience. CERTIFICATIONS:Required:Valid U.S. driver's license - required and maintained throughout the period of performance.Public trust suitability; background investigation cleared prior to beginning performance.Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101. RESPONSIBILITIES:Required (Deliverables):Datasets produced by geospatial analysis stored in an accessible, organized way (e.g., interactive data dashboards backed by code repositories).Reproducible workflows documented in written reports and code repositories.Written status reports and other ad hoc communications as needed. SKILLS:Required:Strong background using GIS (ArcPro, QGIS, etc.) to collate and analyze large spatial datasets.Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, GitHub or GIS, and with open-science concepts.Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.