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3D Scientific Visualization Jobs (NOW HIRING)

Symbotic

3D Graphics Advanced Software Engineer

Wilmington, MA · On-site

$153K - $189K/yr

... Science, Computer Engineering, Robotics, or a related field (or equivalent experience). * Minimum of 5 years of professional experience developing 3D graphics, simulation, or visualization software.

Esri

Product Engineer II - 3D Analyst Team

Redlands, CA · On-site

$79K - $133K/yr

Surface analysis, DEM/DTM production, 3D data visualization * Master's degree in geography or earth science #LI-AL1 Total Rewards Esri's competitive total rewards strategy includes industry-leading ...

Leidos

Senior 2D and 3D Graphic Designer

Alexandria, VA · On-site

$82K - $149K/yr

Collaborate with engineers, data scientists, product teams, and stakeholders to gather requirements ... Experience with design and visualization tools such as Adobe Creative Suite (Photoshop, Illustrator ...

Leidos

Senior 2D and 3D Graphic Designer

Gaithersburg, MD

$82K - $149K/yr

Collaborate with engineers, data scientists, product teams, and stakeholders to gather requirements ... Experience with design and visualization tools such as Adobe Creative Suite (Photoshop, Illustrator ...

Leidos

Senior 2D and 3D Graphic Designer

Alexandria, VA

$82K - $149K/yr

Collaborate with engineers, data scientists, product teams, and stakeholders to gather requirements ... Experience with design and visualization tools such as Adobe Creative Suite (Photoshop, Illustrator ...

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3D Scientific Visualization information

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$26K

$62.1K

$100.5K

How much do 3d scientific visualization jobs pay per year?

As of Jun 15, 2026, the average yearly pay for 3d 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 are the key skills and qualifications needed to thrive as a 3D Scientific Visualization Specialist, and why are they important?

To thrive as a 3D Scientific Visualization Specialist, you need a solid background in scientific disciplines, proficiency in computer graphics, and a relevant degree such as computer science or biology. Familiarity with visualization tools like ParaView, VMD, Blender, or Python-based libraries, as well as skills in data analysis and 3D modeling, are commonly required. Creativity, attention to detail, and strong communication skills help translate complex data into clear, visually compelling representations for diverse audiences. These skills are crucial for accurately conveying scientific information and supporting research, decision-making, and education.

What is 3D scientific visualization?

3D scientific visualization is the process of creating three-dimensional representations of scientific data to help researchers, scientists, and engineers better understand complex phenomena. It involves using specialized software and techniques to transform raw data—such as from simulations, experiments, or measurements—into visual models that can be explored and analyzed. This approach is widely used in fields like biology, physics, engineering, and medicine to reveal patterns, trends, and insights that might not be apparent in raw numerical data. The goal is to make complex information more accessible and interpretable for both experts and non-experts.

What are the typical collaboration dynamics between 3D Scientific Visualization specialists and research teams?

3D Scientific Visualization specialists often work closely with scientists, engineers, and data analysts to accurately interpret and visually represent complex datasets. Collaboration usually involves regular meetings to discuss project goals, data requirements, and visualization techniques, ensuring scientific accuracy and clear communication. Close teamwork ensures that visual outputs not only meet technical standards but also effectively communicate findings to both expert and non-expert audiences. This collaborative environment encourages continuous learning and often leads to the development of innovative visualization solutions.
More about 3D Scientific Visualization jobs
What cities are hiring for 3D Scientific Visualization jobs? Cities with the most 3D Scientific Visualization job openings:
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3D Scientific Visualization jobs near you
Infographic showing various 3D Scientific Visualization job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 33% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $62,056 per year, or $29.8 per hour.
Lead Scientific Developer - Biologics & Protein Design

Lead Scientific Developer - Biologics & Protein Design

OpenEye Scientific

Santa Fe, NM • On-site

Full-time

Posted 21 days ago

Job description

Over the last eight years, OpenEye Scientific has developed the field's most advanced large-scale compute platform, Orion, built on Amazon Web Services. In this position, you will be working at the cutting edge of cloud computing, C++/Python development, and advanced MD simulation techniques. Your work will have the potential to make a major impact in drug discovery, and will be available to many pharmaceutical and biotech companies.
*****This Position is On-site in our Santa Fe, NM Office*****
OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion®, the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Tokyo, Japan.
We are looking for a lead scientific software developer to join a growing team of experts working on biologics and protein design. The highly focused team will work together to drive forward technologies which leverage AI and OpenEye's long standing 3D modeling capabilities in our cloud platform, Orion. The team's guiding principle is to deliver solutions that better enable scientists in the pharmaceutical and biotech industries to develop next generation biologic medicines.
*****This Position is On-site in our Santa Fe, NM Office*****
What you'll do:
  • Work on challenging problems and help find practical solutions that advance the field of computational biologics drug discovery
  • Develop highly scalable and integrated solutions for biologics drug discovery in the cloud
  • Develop data-driven models using sequence and 3D molecular shape representations leveraging AI and physics-based approaches
  • Expand OpenEye's biomolecular modeling and protein informatics technologies
  • Collaborate with great colleagues within our group, within OpenEye & Cadence, as well as within the broader pharmaceutical industry on developing new methods, tools, and solutions

What you should have:
  • *****This Position is On-site in our Santa Fe, NM Office*****
  • PhD (or equivalent experience) in computational chemistry, structural biology, biochemistry, or related field with a least 5 years relevant experience
  • Strong desire to change the field of biologics drug discovery through hard work, creating robust software tools, and critical scientific evaluation.
  • Demonstrated ability to work both independently and as part of a team. Ability to work humbly with others, admitting mistakes and constructively working through differences in opinion.
  • Experience with molecular dynamics simulations and machine learning
  • Programming expertise, ideally in Python, preferably with experience using AI coding agents
  • Proven track record of delivering software solutions

The following are a PLUS, but not required:
  • Expertise with traditional machine learning and/or modern deep learning methods
  • Experience with OpenEye software/toolkits or other computational chemistry toolkits
  • Experience with protein language models and protein folding technologies
  • Experience with modeling antibodies based on sequence and structural data

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