What the role involves
The work
Build our core platform and help scientists make the most of their data:
Build core data infrastructure: ingestion, normalization, storage, indexing
Ship across the stack (Python backend, TypeScript/Next.js frontend)
Design schemas that make heterogeneous lab data queryable
Work with scientists to turn domain problems into working software
Own reliability and make good tradeoffs on quality vs. speed
You
Strong in Python and TypeScript
Know databases deeply (not just how to use them, how they work)
Comfortable independently solving problems end-to-end
Curious about science and how labs actually operate
CS degree or equivalent
[optional] Have experience with scientific data, Django, Next.js, GCP, SQL, early-stage startups
What they ask for
About Labric
Labric is building the data layer that makes AI work for science. We capture messy lab data from instruments and tools, clean it, and connect it—so researchers can actually use AI to accelerate discovery.
Full Labric profile