Software Engineer Lab Platform

You will support and operate laboratory information management systems, handling requests, fixes, schema changes, templates, and data-access tools. You will train scientists, write documentation, build data-quality checks, automate repeated work, and contribute to LIMS permissions and platform improvements.

Responsibilities

• Run the request queue for laboratory data systems, including questions, fixes, and schema changes.
• Support experiment templates and command-line tools used to retrieve data for analysis.
• Train scientists and write supporting documentation.
• Build and maintain data-quality checks that prevent erroneous records from reaching analysis pipelines.
• Help refactor LIMS team and permission structures.
• Automate recurring requests using scripts, scheduled jobs, template changes, or AI agents.
• Write runbooks, add checks, retire manual steps, and submit changes for code review.
• Build tools that make screen and experiment metadata queryable across systems.
• Own parts of the lab platform from design through support.

Requirements

• Bachelor’s degree with 0–2 years of relevant experience, or an advanced degree.
• Python
• SQL
• REST API
• Debugging systems using code, logs, and data.
• AI coding tools
• Handling sensitive research data.
• Technical communication with scientists.
• Documentation and training.
• Ownership of work from start to finish.
• Work onsite in the Palo Alto office at least 3 days per week.

Benefits

• Annual discretionary bonus eligibility.
• Participation in the Compound Cash Grant Program, with multi-year cash grants paid in semi-annual installments.