Immersive Visualization Engineer - Astro & Biology Data

American Museum of Natural History

New York (NY)

On-site

USD 70,000 - 80,000

Full time

14 days+

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Job summary

The American Museum of Natural History in New York seeks a Visualization Software and Data Specialist to join the Astrophysics department and help build immersive data experiences for planetarium and research settings.

You will transform complex astrophysical and biological datasets into interactive visualizations, contribute to pipelines for rendering and real-time exploration, and support storytelling through scientific visualization.

Qualifications

  • Bachelor’s degree or higher in a scientific or computational field.
  • Strong programming in C++, Python, OpenGL or related visualization tech.
  • Experience with scientific data analysis and visualization workflows.
  • Familiarity with large datasets, GPU rendering and real-time visualization.
  • Interest in astronomy, astrophysics or planetary science.

Responsibilities

  • Aid in development of immersive data experiences for planetarium and research settings.
  • Transform complex datasets into interactive visual experiences with scientists.
  • Integrate astrophysical, planetary and biological datasets into visualization frameworks.
  • Contribute to software pipelines for rendering, interaction, and data exploration.
  • Design and implement new visualization techniques for dome-based displays.
  • Support scientific storytelling and exploratory research visualization projects.

Skills

C++
Python
OpenGL
Generative AI
Scientific visualization
Data analysis
GPU rendering
Real-time visualization
Immersive environments
Astronomy interest

Education

Bachelor’s degree or higher in a scientific or computational field
Master’s degree or PhD in a scientific or computational field

Job description

The American Museum of Natural History in New York seeks a Visualization Software and Data Specialist to join the Astrophysics department and help build immersive data experiences for planetarium and research settings.

You will transform complex astrophysical and biological datasets into interactive visualizations, contribute to pipelines for rendering and real-time exploration, and support storytelling through scientific visualization.

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