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Science Visualization Jobs in Chicago, IL (NOW HIRING)

We are seeking an experienced freelance researcher with advanced skills in data science, research ... Knowledge of and experience applying data visualization best practices * Proficiency with Microsoft ...

Visualization, Communication, and Decision Support * Translate complex analyses into clear ... Lead data science initiatives from problem definition through sustained use in decision-making ...

Visualization, Communication, and Decision Support * Translate complex analyses into clear ... Lead data science initiatives from problem definition through sustained use in decision-making ...

Also, this role will need to demonstrate technical precision and strong data science skills ... visualization, and analysis of large and complex data sets. * Demonstrate knowledge of the ...

Senior Data Scientist

Chicago, IL · On-site

$102K - $179K/yr

Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization. * Experience working with large ...

Also, this role will need to demonstrate technical precision and strong data science skills ... visualization, and analysis of large and complex data sets. * Demonstrate knowledge of the ...

Showing results 21-40

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 Sep 6, 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 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% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $49,850 per year, or $24 per hour.

Associate Director, Data Science

Publicis Groupe Holdings B.V

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Key responsibilities

  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.

  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.

  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Overview

Position Summary

This role plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy, audience engagement, and business decisions.

You will serve as a technical lead across multiple client engagements, partnering with cross-functional teams to develop privacy-compliant, data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.

Responsibilities

Key Responsibilities

  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.
  • Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
  • Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
  • Apply advanced media measurement methodologies, including marketing mix modeling (MMM), multi-touch attribution, incrementality testing, lift studies, and experimental design to evaluate campaign effectiveness and optimize marketing investments.
  • Apply advanced statistical methods, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
  • Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
  • Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
  • Drive automation of recurring analyses, reporting, and model monitoring to improve operational efficiency and scalability.
  • Promote best practices in statistical analysis, model validation, documentation, data quality, and reproducible analytics.
  • Collaborate closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
  • Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
  • Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offering
Qualifications

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred.
  • 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
  • Experience leading complex analytics projects and providing technical leadership to cross-functional teams.
  • Advanced proficiency in Python, R, SQL, and modern data visualization tools.
  • Experience working with cloud-based analytics platforms such as Azure, Databricks, Snowflake, AWS, or similar technologies.
  • Experience in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
  • Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
  • Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Preferred Qualifications

  • Demonstrated ability to manage multiple client engagements and priorities in a fast-paced, collaborative environment.
  • Experience mentoring junior team members and fostering technical best practices.
  • Experience within healthcare, pharmaceutical, life sciences, or marketing analytics.
  • Experience working with healthcare and pharmaceutical data sources, including HCP/NPI-level data, medical and pharmacy claims, prescription data, and commercial healthcare datasets.
  • Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health, MMIT, Komodo Health, IQVIA, PurpleLab, or similar data providers.
  • Experience working within privacy-safe data environments, including clean rooms and HIPAA-compliant environments, with knowledge of PHI, de-identified, and limited datasets.
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

#LI-YM1

 Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/1/2026.Employment Type: FULL_TIME

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