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Scientific Visualization Jobs (NOW HIRING)

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 ...

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 ...

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Scientific Visualization information

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$26K

$62.1K

$100.5K

How much do scientific visualization jobs pay per year?

As of Jun 25, 2026, the average yearly pay for scientific visualization in the United States is $62,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,500.00 and $72,500.00 per year, depending on experience, location, and employer.

What does a scientific visualizer do?

A scientific visualizer creates visual representations of complex data and scientific concepts using tools like 3D modeling, data visualization software, and graphic design. Their work helps communicate research findings clearly and often involves understanding scientific principles and technical skills in software such as MATLAB, Blender, or Tableau.

What are typical projects or tasks a Scientific Visualization professional works on?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What are the key skills and qualifications needed to thrive in the Scientific Visualization position, and why are they important?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

Is data visualization a good career?

Scientific visualization is a viable career that involves creating visual representations of complex data to aid understanding and decision-making. It requires skills in programming, data analysis, and visualization tools like Tableau or D3.js, and often offers opportunities in research, technology, and industry sectors. The field is growing as data-driven decision-making becomes increasingly important across various industries.

How much does a data visualizer earn?

A data visualizer's salary typically ranges from $50,000 to $100,000 annually, depending on experience, education, and location. Professionals skilled in tools like Tableau, Power BI, or D3.js and with strong analytical skills tend to earn higher salaries in this field.

What jobs are good for visual thinkers?

Scientific visualization jobs are well-suited for visual thinkers, as they involve creating graphical representations of complex data to aid understanding. These roles often require skills in data analysis, computer graphics, and software tools like MATLAB or Tableau, and may involve collaboration with scientists and researchers. Visual thinkers excel in fields that demand strong spatial reasoning and the ability to communicate information visually.

What is a Scientific Visualization job?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

More about Scientific Visualization jobs
What cities are hiring for Scientific Visualization jobs? Cities with the most Scientific Visualization job openings:
What are the most commonly searched types of Scientific Visualization jobs? The most popular types of Scientific Visualization jobs are:
What states have the most Scientific Visualization jobs? States with the most job openings for Scientific Visualization jobs include:
What job categories do people searching Scientific Visualization jobs look for? The top searched job categories for Scientific Visualization jobs are:
Scientific Visualization jobs near you
Infographic showing various Scientific Visualization job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $62,056 per year, or $29.8 per hour.
CFD Geometry and Meshing Developer

CFD Geometry and Meshing Developer

Flexcompute Inc.

Watertown, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
Responsibility
You will play a crucial role in the design, development, and optimization of our backend 3D geometry, visualization, and meshing technology, conduct architectural design, and optimize product performance and experience. As a key force in our team, you will play a central role in advancing the application of cutting-edge 3D technology. You will work closely with our R&D team and front-end engineers to implement new features, improve user experience, and ensure the highest quality standards are met. Your work will contribute to the continued growth and success of Flexcompute Inc. as a leader in simulation technology.
  • Design and develop parallel, scalable, and real-time algorithms to support geometry manipulation, meshing, mesh adaptation, and interactive 3D visualization tools.
  • Profile and optimize feature implementation to improve speed and scalability on CPUs/GPUs
  • Collaborate with teams developing the user-interface and scientific visualization tools/technologies making user experience a priority
  • Engage with Product Management, Quality Assurance, and Documentation teams to accomplish product milestones in a timely manner
  • Follow sound software engineering practices like continuous integration and code review. The code we write today will underpin our platform simulation products for years to come - it needs to be maintainable, extensible and robust

Why Join Us?
Embarking on a career with Flexcompute means stepping onto a path of transformative growth and innovation. As part of our team, you'll have exciting opportunities to shape the future of CFD simulation. Here, your work directly contributes to developing products that are not only groundbreaking but also sustainably advancing the engineering landscape. We offer a highly collaborative environment, competitive compensation, and a benefits package designed to support our team's well-being and professional development.
If you're driven by the prospect of making a lasting impact and eager to be at the forefront of technological innovation, we invite you to apply.
Requirements
  • Bachelor's or Master's degree in Computer Science or a related field; solid foundation in computer science and networking.
  • Strong background in Computational Geometry, Graphics, and Meshing. Knowledge of numerical approximations.
  • C/C++/Cuda/MPI/OpenMP for scientific computing and Python (or similar) for scripting
  • 5+ years of work experience, 3+ years in meshing / graphics intensive development with proven contribution; exceptional candidates can be considered with relaxed criteria.
  • Good team collaboration and communication skills, adept at analyzing and solving problems with design solutions.
  • Ability to work in a fast-paced and dynamic environment

Preferred
  • Industry experience in implementing and testing new features in commercial meshing software for CFD solvers
  • PhD in Computational Science and Engineering, Mechanical Engineering or Aerospace Engineering
  • Expertise in one or more of the following topics:
    • Adaptive mesh refinement
    • Delaunay triangulation or advancing front method
    • Multi-threaded data structures for surface and volume meshing
    • Development of scalable, parallel scientific software using MPI, OpenMP, or CUDA
    • Scientific visualization techniques

Benefits
  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Apply