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Science Visualization Jobs in Indianapolis, IN (NOW HIRING)

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site

Experience with data visualization platforms (Power BI, Tableau, or equivalent) preferred. Job Level: Non-Management Exempt Workshift: Job Family: RDA > Data Science Please be advised that Elevance ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Experience with data visualization platforms (Power BI, Tableau, or equivalent) preferred. Job Level: Non-Management Exempt Workshift: Job Family: RDA > Data Science Please be advised that Elevance ...

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Develop visualization of analysis output for business users and publish results under the direction ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

Brooksource

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization * Ensure clear ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Elanco

Senior Data Scientist

Indianapolis, IN

Lead end-to-end data science initiatives - from problem definition and data exploration to ... Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard. * Proven ...

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Showing results 1-20

All JobsScience Visualization JobsScience Visualization Jobs in Indianapolis, IN

Science Visualization information

See Indianapolis, IN salary details

$23.4K

$46.3K

$75.5K

How much do science visualization jobs pay per year?

As of Jul 29, 2026, the average yearly pay for science visualization in Indianapolis, IN is $46,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $49,700.00 per year, depending on experience, location, and employer.

What jobs are good for visual thinkers?

Science visualization is well-suited for visual thinkers, as it involves creating visual representations of complex scientific data and concepts. Roles often require skills in graphic design, 3D modeling, and data interpretation, with tools like Adobe Creative Suite or visualization software. These jobs typically demand strong spatial reasoning and the ability to communicate information visually to diverse audiences.

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 are the key skills and qualifications needed to thrive as a Science Visualization Specialist, and why are they important?

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.

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 does a scientific visualizer do?

A scientific visualizer creates visual representations of complex scientific data and concepts to improve understanding and communication. They often use tools like 3D modeling, animation, and visualization software, and may work closely with researchers to accurately depict phenomena or data sets.

What jobs can I get with a visualization degree?

A visualization degree can lead to roles such as scientific visualization specialist, data visualization designer, or multimedia artist, often requiring skills in software like Adobe Creative Suite, Blender, or Tableau. These jobs typically involve creating visual representations of complex data or scientific concepts for research, education, or communication purposes.
What are popular job titles related to Science Visualization jobs in Indianapolis, IN? For Science Visualization jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Science Visualization jobs in Indianapolis, IN look for? The top searched job categories for Science Visualization jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Science Visualization jobs? Cities near Indianapolis, IN with the most Science Visualization job openings:
Science Visualization jobs near you
Infographic showing various Science Visualization job openings in Indianapolis, IN as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $46,255 per year, or $22.2 per hour.

Scientific Data Architect

Insilico Search Partners

Indianapolis, IN • On-site

$61 - $78.50/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Scientific Data Architect — Indianapolis, IN 📍 Indianapolis, IN | Full-Time | Hybrid


The Role We're looking for a product-minded, outcome-obsessed Scientific Data Architect to join a high-impact team at the intersection of life sciences R&D and AI. You'll work directly with scientific and technical stakeholders onsite a few days per week in the Indianapolis area, translating complex scientific data challenges into scalable, AI-ready solutions.


What You'll Do

  • Design and implement extensible, reusable data models (tabular and JSON) that capture and organize scientific data at scale
  • Develop Python-based parsers to programmatically interrogate proprietary instrument output files
  • Integrate lab software (ELN/LIMS) via APIs and build data visualization apps using Streamlit, Plotly, and similar frameworks
  • Collaborate with scientists, engineers, and product managers to develop and deploy ML, AI, and statistical models
  • Rapidly prototype and demo solutions directly with end users to accelerate adoption
  • Contribute to product roadmap by translating customer pain points into actionable priorities
  • Travel to client sites in the Indianapolis, St. Louis, and Chicago regions as needed


What We're Looking For

  • PhD with 4+ years or MS with 8+ years of industry experience in life sciences
  • Deep domain knowledge in drug discovery, preclinical development, CMC, or product quality testing
  • Proven track record designing and implementing AI/ML-driven use cases in cloud environments
  • Hands-on Python development experience including data modeling, parsing, and app development
  • Experience integrating ELN/LIMS systems via APIs
  • Strong communication and storytelling skills — comfortable engaging scientists and executive stakeholders alike
  • Self-starter mentality with a bias toward prototyping and action


Bonus Points

  • Experience with Streamlit, Plotly, Holoviews, or similar data app frameworks
  • Familiarity with AWS or other cloud-native environments
  • Background in scientific consulting or customer-facing roles
  • Experience with exploratory data analysis across complex biopharma datasets

Apply