Location: Pasadena, CA
Cap-Exempt H-1B Position — No lottery required
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. **Job Summary** IPAC at Caltech seeks a full-time Applications Developer to join the Data Science Team at the NASA/IPAC Infrared Science Archive (IRSA). Come be a part of the team that is helping astronomers and data scientists all over the world access and explore IRSA's petabyte archives of astronomy data! IPAC, part of the Physics, Math, and Astronomy Division at Caltech (www.caltech.edu), provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets delivered by NASA's Astrophysics missions. We enable ground-breaking scientific research using data from these and other missions. IRSA ingests petabyte-scale imaging datasets, maintains multi-billion row databases, and develops a variety of tools for accessing, visualizing, and analyzing data from cutting-edge astronomical facilities. Current and future missions in IRSA’s portfolio include: SPHEREx, a NASA mission which will conduct an infrared spectroscopic survey of the entire sky; Euclid, a European Space Agency (ESA) mission to study the geometry and nature of the dark Universe; and NEO Surveyor, a NASA Planetary Science mission designed to discover and characterize most of the potentially hazardous asteroids that are near the Earth. **Team Responsibilities:** The IRSA Data Science Team's responsibilities include: - Creating and maintaining Python Jupyter notebook tutorials; - Designing and implementing tools for community use of IRSA's large data sets; - Running data science workshops using IRSA-curated data set