Join a small engineering team at an early-stage biotechnology software company building tools for clinical trials and scientific research. You will develop product features and lab workflow automation that help scientists work with complex immune system data.
Build full-stack product features, including customer-facing trial dashboards, sample notifications, and data visualization improvements.
Implement machine learning techniques for automated cancer cell boundary detection in cytometry data.
Automate lab workflows from sample preparation through data analysis.
Ship reliable production software that supports clinical trials.
Work directly with scientists and clients to shape product development.
Two to five years of full-stack software engineering experience and a track record of shipping quality software to real users.
Proficiency with Python for data processing and production code, plus experience with React and TypeScript.
Experience with at least one cloud platform, such as AWS, GCP, or Azure.
Ability to show measurable impact through the products and improvements you have delivered.
Experience building customer-facing dashboards or data visualization tools is valuable.
Familiarity with large or complex scientific datasets, such as genomics, imaging, or cytometry, is a plus.
Salary range: $90,000 to $185,000 USD annually. Visa sponsorship is available.
On-site in Salt Lake City, Utah. Candidates may also be considered for an on-site location in San Mateo, California, and must be willing to relocate if needed.