The Space Telescope Science Institute (STScI) is seeking an Astronomical Data Scientist to join the Mikulski Archive for Space Telescopes (MAST). MAST is a multi-petabyte archive and the data center for more than twenty space- and ground-based missions, including the Hubble Space Telescope, TESS, Pan-STARRS, the James Webb Space Telescope and Nancy Roman Space Telescope. MAST acts as stewards of the data produced by NASA's astrophysics missions and works to ensure these priceless data sets are available to all.
Come join our team and work to improve the scientific productivity of the MAST data holdings! This candidate would work closely with other scientists and software engineers to provide scientific and technical expertise for MAST projects. Our Astronomical Data Scientists have leadership roles in crafting high-level data products, implementing data-mining techniques, improving the usability of MAST products and providing scientific guidance for the MAST and its missions. You will have the option to buy back up to 50% of you time (FTE) for scientific research through the use of any external funding or grants you may receive.
We encourage applications from scientists in all sub-disciplines of observational or theoretical astrophysics that can support the broad science objectives of MAST's missions. Applicants with expertise in time domain astronomy, solar system/moving target astronomy, spectroscopy, synthetic data, or infrared astronomy would especially complement our existing team. We offer an excellent and generous benefits package, tuition reimbursement, flexible work schedules and a stimulating and diverse work environment.
**STScI has all staff working remotely during COVID-19 crisis. The safety of our staff and community is our top priority. We will continue to interview and screen candidates in this new virtual landscape. Offers of employment can be extended and new hires could on-board virtually and will be shipped systems to be able to work remotely until it is safe to report to our Baltimore offices. Relocation benefits will be available to those eligible when travel can be supported.**
This position requires a PhD in Astronomy, or a related field and experience as a scientist supporting astronomical research activities. We require familiarity with software development practices along with some knowledge of Python.
- Demonstrated familiarity with one or more of the following is a plus:
- Spectroscopy of astrophysical sources using long-slit, multi-object, or IFU spectrographs in the UV, optical, or thermal IR
- Analysis or generation of model, synthetic, or numerical simulations of astrophysical phenomena
- Astronomical software tools (e.g. TOPCAT) and software packages (e.g. Astropy)
- Modern software development workflows and tools (e.g., Git)
- Use of astronomical archives to support research projects
- Astronomical Databases
- Data Science skills such as handling heterogeneous, large data sets, machine learning or cloud-computing.
- Working with teams of software developers
- Documentation and tutorials (e.g. Jupyter notebooks)
The ideal candidate will have strong communication skills, be able to work with minimum supervision, be self-motivated, and be capable of representing MAST to outside groups. Questions about the position can be sent to Dr. Susan Mullally (Deputy Branch Manager, Archive Sciences Branch).
To Apply: You are requested to complete an on-line application through the STScI website. Please upload a cover letter and resume on one PDF document for review. All applications that meet the above criteria and are to be submitted by July 7th 2020 for full consideration.
To explore other job announcements, please visit: www.stsci.edu/opportunities
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