Visualization Software and Data Specialist

Position Title Visualization Software and Data Specialist Department Astrophysics - 003, * Aid in the development of immersive data experiences (covering astrophysics and biology) for planetarium and research environments.

• Work collaboratively with scientists and visualization team members to transform complex datasets into interactive visual experiences.
• Integrate astrophysical, planetary, and biological datasets into immersive visualization frameworks.
• Contribute to software pipelines for rendering, interaction, and large-scale data exploration.
• Participate in the design and implementation of new visualization techniques for dome-based and immersive displays.
• Support scientific storytelling and exploratory research visualization projects.

The expected salary range for the Visualization Software and Data Specialist is $70,000/annual - $80,000/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community.

Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization, and depth and scope of experience., 1. * Do you have a bachelor's degree or higher in a scientific or computational field?

• Yes
• No

2. • Do you have strong programming experience in one or more of the following: C++, Python, OpenGL, or other related scientific visualization technologies?

• Yes
• No

3. • Are you familiar with using generative AI (e.g., Claude, Codex, Copilot) as an assist to coding projects?

• Yes
• No

4. • Do you have experience with scientific data analysis and visualization workflows?

• Yes
• No

5. • Are you familiar with working with large datasets, GPU rendering, real-time visualization, or immersive environments?

• Yes
• No

Documents Needed To Apply Required Documents

1. Curriculum Vitae
2. Cover Letter

Optional Documents

• Bachelor's degree or higher in a scientific or computational field.
• Strong programming experience in one or more of the following: C++, Python, OpenGL, or other related scientific visualization technologies.
• Familiarity with generative AI (e.g., Claude, Codex, Copilot) as an assist to coding projects.
• Experience with scientific data analysis and visualization workflows.
• Familiarity with large datasets, GPU rendering, real-time visualization, or immersive environments.
• Interest in astronomy, astrophysics, planetary science, biology, and/or scientific computing.

Preferred Qualifications

• Master's degree or PhD in a scientific or computational field.

Physical Demands

• Must be able to remain in a stationary position (sitting or standing) for prolonged periods.
• Must be able to move about the Museum campus.

The American Museum of Natural History is an Equal Opportunity Employer. The Museum does not discriminate with respect to employment, or admission or access to Museum facilities, programs or activities on the basis of race, creed, color, religion, age, disability, marital status, partnership status, gender (including sexual harassment), sex, sexual orientation, gender identity, gender expression, genetic information, pregnancy and lactation accommodations, alienage or citizenship status, current or former participation in the uniformed services, status as a veteran, caregiver, pre-employment marijuana testing, sexual and reproductive health decisions, salary history, national or ethnic origin, height, weight, or on account of any other basis prohibited by applicable City, State, or Federal law. Additional protections are afforded in employment based on arrest or conviction record, status as a victim of domestic violence, stalking and sex offenses, unemployment

The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret, and disseminate information about human cultures, the natural world, and the universe through a wide-ranging program of scientific research, education, and exhibition.