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Space Telescope Science Institute · 1 day ago

Principal Astronomical Data Scientist

Baltimore, MD

Full-time

Hybrid

Lead/Staff

$145K/yr - $160K/yr

15+ years exp

The Space Telescope Science Institute (STScI) is a multi-mission science and flight operations center for NASA’s flagship observatories located in Baltimore, Maryland. They are hiring a Principal Astronomical Data Scientist to advance data analysis tools and support NASA missions, focusing primarily on data visualization and community engagement.

AerospaceEducationNon Profit

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Engage directly with software developers to drive product success

Translating the science needs and mission requirements into specifications for data analysis tools

Serve as the main point of contact between stakeholders and the product development team

Prioritize and maintain the product backlog

Promote the data analysis tools through community outreach, conferences and meetings

You will, design, develop, test and deploy software to assist astronomers in analyzing astronomical data, in close collaboration with STScI’s technical and scientific staff

You will provide technical and scientific development to Python notebooks that focus on scientific use cases

Qualification

Astronomical data experienceAdvanced PythonData visualizationSoftware developmentTest-driven development

Required

You have worked with astronomical data and understand user needs from a pipeline and data analysis perspective

You are comfortable with writing unit tests and with test-driven development

Bachelor's degree in Astronomy or Physics or a comparable degree

Preferred

An advanced degree in Astronomy, Physics, or a related field is preferred, with 15+ years of experience in an astronomical research role or as an observatory scientist supporting astronomical research

Education or professional background in astronomy, or software development in a research environment is helpful

HST and JWST experience is a plus

Advanced Python Experience in multiprocessing, multithreading, or optimizing performance of Python code for large datasets is a plus