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Science Visualization Jobs in Chicago, IL (NOW HIRING)

Data Scientist

Chicago, IL ยท On-site

$90K - $130K/yr

Methods include basic descriptive approaches including trending and visualization to advanced ... science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management ...

Architect, Data Science

Chicago, IL ยท On-site

$155 - $190/hr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... As part of our growing Data Science practice, this role offers an exciting opportunity to lead ...

... visualization, data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains required technical documentation associated with work ...

... visualization, data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains required technical documentation associated with work ...

... visualization, data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric datasets. * Produces and maintains required technical documentation associated with work ...

Senior Data Scientist - 333116

Lake Forest, IL ยท On-site

$103.60 - $172.60/hr

Bachelor's degree in Statistics, Mathematics, Data Science, Applied Analytics, Operations Research ... Build dashboards in visualization tools (Tableau) to support ad-hoc data requests and data analysis ...

... visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. * Help drive our data science culture and strategy.

Showing results 41-60

Science Visualization information

See Chicago, IL salary details

$25.2K

$49.9K

$81.4K

How much do science visualization jobs pay per year?

As of Aug 17, 2026, the average yearly pay for science visualization in Chicago, IL is $49,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $53,600.00 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 does a science visualization do?

A science visualization professional creates visual representations of scientific data, concepts, or processes to make complex information easier to understand. They often use tools like 3D modeling, graphic design, and data visualization software to produce images, animations, or interactive media for education, research, or communication purposes.

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 job categories do people searching Science Visualization jobs in Chicago, IL look for?

The top searched job categories for Science Visualization jobs in Chicago, IL are:

Infographic showing various Science Visualization job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 19% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $49,850 per year, or $24 per hour.

Data Scientist

Hanchey

Chicago, IL โ€ข On-site

$90K - $130K/yr

Full-time

Re-posted 15 days ago


Job description


The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle:definition/planning, execution and completion.
The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process.
Skills:
  • Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques
  • Familiarity with visualizations tools such a Qlik or Tableau
  • Understanding of data warehousing concepts
  • Highly developed communication skills covering report development, presentation, and meeting management
  • Project management
  • Organized and collaborative
  • Self-starter that works well alone as well as in a group

Requirements
Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred.
7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.