Job description
At Lumen Nebula Institute, we empower discovery through data-driven astronomy. We seek a passionate Astronomical Data Scientist to join our Pasadena-based research team. You will collaborate with astronomers, engineers, and software developers to transform raw telescope data into actionable insights that advance our understanding of the universe.
This full-time role offers the chance to work with state-of-the-art facilities, participate in international collaborations, and contribute to open-source data pipelines and publications.
Responsibility
- Design, implement, and optimize data pipelines to ingest, process, and validate telescope data from multiple instruments.
- Apply statistical methods and machine learning to extract scientifically meaningful features and detections.
- Collaborate with astronomers to translate scientific questions into concrete data analysis plans.
- Develop reproducible analysis workflows using Python, Jupyter, and version control; document methodologies.
- Create interactive visualizations and dashboards to communicate results to research teams and public outreach.
- Prepare and contribute to publications, presentations, and open-source software releases.
- Mentor junior researchers and participate in grant proposals and project planning.
Qualification
- Master's or PhD in Astronomy, Astrophysics, Computer Science, or a closely related field.
- 5+ years of experience with astronomical data analysis and scientific computing.
- Proficiency in Python (NumPy, SciPy, AstroPy), SQL, and data visualization tools (Matplotlib, Seaborn, Plotly).
- Experience with machine learning frameworks (TensorFlow, PyTorch) and time-series analysis.
- Strong knowledge of astronomy data formats (FITS, HDF5) and telescope data workflows.
- Proven experience with version control (Git), software development best practices, and thorough documentation.
- Excellent communication skills and ability to work in cross-disciplinary teams.