About the role
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
About Labric
We started Labric after seeing the same problem everywhere. World-class research labs are running on outdated data infrastructure. Experimental context lives on post-its. Scientists email files to themselves for analysis. More time is spent wrangling data than doing science.
