Astronomical Data Scientist II

4 weeks ago


Baltimore, Maryland, United States Space Telescope Science Institute Full time
Job Summary:

This position is responsible for leading archive activities and science data exploration related to large-scale astronomical datasets. The successful candidate will provide scientific guidance on catalog development efforts and support the Mikulski Archive for Space Telescopes (MAST) data products, tools, and interfaces.

Key Responsibilities:
  • Participate in the design and development of cloud-based solutions for storing, processing, and managing astronomical catalogs and services that support community usage of catalogs.
  • Maintain and support mission source catalogs such as Roman Source Catalog(s) to ensure the integrity, accessibility, and security of astronomical datasets.
  • Participate in cloud tool development for massive catalog dataset exploration.
  • Support catalog data searching across multiple archive centers.
  • Answer help desk questions from scientific users, especially for those related to astronomical catalogs.
Requirements:
  • Minimum of 5 years' experience in astronomy or astrophysics.
  • Expertise (minimum of three years or equivalent knowledge level) in the scientific use of catalogs.
  • Experience in Python scripting, including the use of common Python-based astronomy packages.
  • Familiarity with AWS Cloud related tools/services.
  • Effective communication skills and the ability to describe astronomical data to a broad science community.
  • Ability to maintain effective working relationships with other scientific, technical, and administrative staff.
  • Ability to analyze and solve problems independently, as well as work collaboratively and communicate effectively with multi-disciplinary teams and leadership.
Preferred Qualifications:
  • Expertise in one (or both) of the following fields of study: extragalactic astrophysics, time domain and multi-messenger (TDAMM) astrophysics.
  • Experience working with and analyzing/processing massive catalogs.
  • Experience with Git or other similar software version control tools.
  • Experience applying machine learning algorithms/tools to produce/analyze astronomical catalogs.
  • Experience with database SQL scripts.
Education:

Ph.D. in Astronomy or equivalent field.

Substitution of additional relevant education or experience for stated qualifications may be considered.



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