Astronomer

Staff Astronomer I

Final date to receive applications: 14 August 2026

Department: Observing Support

Employment Type: Full Time

Location: W.M. Keck Headquarters

Reporting To: Jim Lyke

Compensation: $83,686 - $100,374 / year

At W. M. Keck Observatory, we enable groundbreaking discoveries that expand humanity's understanding of the universe. We are seeking a Staff Astronomer I to join our Observing Support team and help deliver exceptional scientific capabilities to astronomers from around the world.

This position combines hands‑on telescope and instrument support, scientific software and data analysis, instrumentation development, and independent research—creating a unique opportunity to contribute directly to cutting‑edge astronomy while advancing your own scientific interests.

The Staff Astronomer I supports visiting astronomers before, during, and after their observing runs while collaborating with engineers and technical staff to maintain, improve, and develop Keck's world‑class instrumentation. The successful candidate will conduct astronomy‑related research and contribute to scientific publications while helping ensure the Observatory continues to deliver transformational science. Approximately 20% of work time is dedicated to professional research activities.

At Keck Observatory, our work is driven by a shared commitment to advancing scientific discovery while honoring our responsibility to people, place, and community.

• Stewardship – We care for our people, facilities, environment, and community with integrity and long‑term responsibility.
• Service – We prioritize collective impact, supporting one another, the global astronomy community, and our local Hawaiʻi community to achieve shared goals.
• Collaboration & Inclusion – We work across disciplines and perspectives to solve complex challenges and advance discovery together.
• Excellence & Safety – We deliver high‑quality work while maintaining a strong commitment to operational excellence and safety in everything we do.

• Competitive starting salary ranging from $83,686 to $125,408 annually.
• Generous benefits package, including four (4) weeks of annual paid vacation.
• A robust 8% 403(b) employer contribution (with a 4% employee contribution)
• Dependent Tuition Assistance.
• Comprehensive, fully‑paid employee health insurance.
• Join a dedicated team working on the frontiers of astronomy.

• Instruct observers in the use of WMKO’s instruments and telescopes
• Provide pre‑ and post‑observing inquiries and support (both onsite and at remote mainland sites).
• Offer afternoon and night‑time support for observers during their runs.

• Maintain, calibrate, and develop scientific instruments and related software.
• Provide night‑time engineering support.
• Collaborate with engineers and technicians to maintain, repair, and improve instruments.

• Lead the care of that instrument or capability.
• Take primary responsibility for the instrument, ensuring its proper function and performance.

• Participate in the development of new instruments or capabilities, including adaptive optics.
• Contribute to major upgrades of existing instruments

• Contribute to the development, maintenance, and support of data reduction packages.

• Conduct scientific research related to field of expertise or interest with the expectation that the research will lead to published technical and peer‑reviewed papers. Collaboration with colleagues is encouraged.
• This position allocates 20% of work time specifically for research activities.

• Doctor of Philosophy (Ph.D.) or equivalent degree in astronomy, physics, or engineering; relevant professional experience may be substituted for a degree.

• Interest and/or experience with scientific instrumentation
• With astronomical observing and/or working at an astronomical observatory.

• Ability to prioritize tasks, plan activities, and meet deadlines
• Microsoft Office Proficiency.
• Ability to effectively deliver impactful presentations to a technical and non‑technical audience.

• Ability to interpret complex data, solve problems, and make predictions based on empirical evidence.
• Proficiency in programming languages for data analysis and simulations (e.g., Python, C/C++, IDL, R, Bash/Shell scripting).
• Ability to create or use data processing pipelines to handle large volumes of data, including calibration, cleaning, and extraction of useful information.
• Knowledge of cloud computing and data storage solutions to manage large datasets.
• Ability to write scientific papers and produce technical documentation.