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Science Visualization Jobs in Illinois (NOW HIRING)

Intellect Solutions LLC

IL · On-site

... analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research ...

Hanchey

Data Scientist

Chicago, IL · 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 ...

Socket.dev

Architect, Data Science

Chicago, IL · 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 ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

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Science Visualization information

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 are popular job titles related to Science Visualization jobs in Illinois?

For Science Visualization jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Science Visualization jobs in Illinois look for?

The top searched job categories for Science Visualization jobs in Illinois are:

What cities in Illinois are hiring for Science Visualization jobs?

Cities in Illinois with the most Science Visualization job openings:

Science Visualization jobs near you
Infographic showing various Science Visualization job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 19% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Data Scientist I supporting social science research, analytics, and AI initiatives

NORC at the University of Chicago

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Data Scientist I supporting social science research, analytics, and AI initiatives

Apply now Job no: 503928 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Methodology and Quantitative Social Sciences

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives.

The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs).

The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments.

The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems.

Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

DEPARTMENT:  Methodology and Quantitative Social Sciences

The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects.

RESPONSIBILITIES:
  • Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives.
  • Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks.
  • Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas.
  • Develop prompt engineering strategies and evaluation frameworks for generative AI systems.
  • Implement model monitoring, testing, validation, and performance optimization processes.
  • Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis.
  • Support experimentation with AI agents, tool calling, and workflow automation.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis.
  • At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered).
  • Advanced proficiency in Python.
  • Strong experience with SQL and relational databases.
  • Experience developing software, data pipelines, or analytical applications.
  • Experience conducting statistical analysis and machine learning using real-world datasets.
  • Knowledge of supervised and unsupervised machine learning methods.
  • Experience working with Git and collaborative development workflows.
  • Strong problem-solving and analytical skills.
  • Excellent communication and technical writing skills.
  • Ability to explain technical concepts to diverse audiences.

Preferred Skills:              

  • Familiarity with AI agents and workflow orchestration frameworks.
  • Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash).
  • Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

SALARY AND BENEFITS:

The pay range for this position is $90,000-$100,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: August 14, 2026 Central Daylight Time Applications close:

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