Scientific Data Analyst
Role summary
This role is for a Scientific Data Analyst I with a world-renowned leader in ground-based radio astronomy. The analyst will process and calibrate celestial data using Python, specialized software like CASA, and HPC environments. Key responsibilities include developing automated data processing pipelines, ensuring data integrity through rigorous QA, troubleshooting data artifacts, and managing petabyte-scale datasets. The ideal candidate will have strong Python skills for scientific computing, experience in a Linux/Unix environment with Git, and a background in physics, astronomy, or engineering. Remote work flexibility is offered.
Scientific Data Analyst I
We're working with a world-renowned leader in ground-based radio astronomy on this exciting opportunity to explore the cosmos through data.
This is your chance to join a team operating the world’s most sophisticated radio telescopes, turning raw celestial signals into groundbreaking scientific discoveries. You will bridge the gap between complex hardware and astronomical research using advanced Python scripting, data calibration pipelines, and high-performance computing environments.
The Role
- Perform end-to-end data reduction and calibration for world-class interferometric arrays and single-dish telescopes.
- Develop and maintain automated data processing pipelines using Python and specialized astronomical software suites like CASA.
- Conduct rigorous quality assurance (QA) on massive scientific datasets to ensure integrity for the global research community.
- Collaborate with world-leading astrophysicists to troubleshoot complex data artifacts and optimize signal-to-noise ratios.
- Support the operation of high-performance computing (HPC) clusters to manage petabyte-scale data storage and processing workflows.
What You'll Need
- Strong proficiency in Python for scientific computing, including experience with libraries like NumPy, SciPy, and Matplotlib.
- Solid foundation in data analysis techniques, preferably within a physics, astronomy, or engineering context.
- Experience working in a Linux/Unix environment with shell scripting (Bash) and version control (Git).
- Exceptional attention to detail and the ability to diagnose anomalies within complex, multi-dimensional scientific datasets.
- A Bachelor’s degree in Astronomy, Physics, Computer Science, or a related STEM field; experience with radio interferometry is a major plus.
What's On Offer
- Remote-friendly flexibility with the chance to work alongside the brightest minds in space science.
- Access to premier high-performance computing resources and cutting-edge astronomical instrumentation.
- Comprehensive benefits package including generous retirement contributions and professional development support.
- The unique opportunity to contribute to discoveries that redefine our understanding of the universe.
Apply via Haystack today!
