American Museum of Natural History
American Museum of Natural History is hiring: Data Analyst, Astronomy in New Yor
American Museum of Natural History, New York, NY, US, 10261
Data Analyst, Astronomy
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Posting Details
Position Information
Position Title
Data Analyst, Astronomy
Department
Astrophysics - 003
Position Summary
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.
The Astrophysics department is seeking a full-time Data Analyst to support scientific research programs involving both spectroscopic and imaging data, working closely with the Astrophysics team.
Job duties include, but are not limited to:
- Process and analyze observational datasets from ground- and space-based telescopes. This includes the reduction of raw datasets, development of automated pipelines, calibration of data and generation of science-ready data products.
- Provide written descriptions of the above-listed science tasks to support papers submitted to science journals.
- Support efforts to export processed datasets to colleagues worldwide.
Pay is 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.
Minimum Qualifications
- Bachelor's degree in astronomy, physics or another closely related field.
- Demonstrated experience in reducing both spectroscopic and imaging astronomical data.
- Strong communication and collaboration skills.
- Proficiency with Python programming and familiarity in scientific libraries such as Astropy, NumPy, SciPy and Matplotlib.
- Experience with astronomical data formats (FITS), coordinate systems and World Coordinate System (WCS) standards.
- Familiarity with standard tools for data reduction such as IRAF, PyRAF, Pypelt, CCDPROC, DRAGONS or similar.
- Experience working with archival data from facilities such as HST, JWST, Gemini, VLT, Keck or other large telescopes.
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.
Full-Time/Term
Total Number of Scheduled Hours Per Pay Period
70
Union Status
Non-Union
FLSA
Non-Exempt
Expected Salary Minimum
$45,000/annual
Expected Salary Maximum
$45,000/annual
EEO Statement
The American Museum of Natural History is an Equal Opportunity/Affirmative Action 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 status, and credit history, in each case to the extent provided by law.
Quick Link
https://careers.amnh.org/postings/4487
Posting Detail Information
Posting Number
GS896P
Open Date
07/11/2025
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
Supplemental Questions
Required fields are indicated with an asterisk (*).
- *
Do you have a bachelor's degree or higher in astronomy, physics or another closely related field?- Yes
- No
- *
Do you have demonstrable experience in reducing both spectroscopic and imaging astronomical data?- Yes
- No
- *
Do you have strong communication and collaboration skills?- Yes
- No
- *
Are you proficient in Python programming and have familiarity in scientific libraries such as Astropy, NumPy, SciPy and Matplotlib?- Yes
- No
- *
Do you have experience with astronomical data formats (FITS), coordinate systems and World Coordinate System (WCS) standards?- Yes
- No
Required Documents
- Curriculum Vitae
- Cover Letter
Optional Documents