About the role
structured by ORISenior Full Stack Software EngineerAbout LabricEffective use of AI will transform scientific research, but most lab data is stuck in silos. Scientists can't ask basic questions across their own experiments.
What you will do
- 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
What they are looking for
- 4+ years of software engineering experience
- 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
Nice to have
- Have experience with scientific data, Django, Next.js, GCP, SQL, early-stage startups
Full posting text
Senior Full Stack Software EngineerAbout LabricEffective use of AI will transform scientific research, but most lab data is stuck in silos. Scientists can't ask basic questions across their own experiments. Even the best tools can't help with what they can't see.Labric builds the missing layer. We connect instruments, spreadsheets, and other data sources to a central platform, transforming data into useful visualizations and metrics.
Scientists use it for cross-experimental analysis, visibility into colleagues' work, and application of the latest AI models.We're working with companies, academic labs, and DOE national labs, and demand is outpacing our team. This is a rare chance to rebuild the tools the world's best scientists use to create tomorrow's technology.The workBuild core data infrastructure: ingestion, normalization, storage, indexingShip across the stack (Python backend, TypeScript/Next.js frontend)Design schemas that make heterogeneous lab data queryableWork with scientists to turn domain problems into working softwareOwn reliability and make good tradeoffs on quality vs. speedYou4+ years of software engineering experienceStrong in Python and TypeScriptKnow databases deeply (not just how to use them, how they work)Comfortable independently solving problems end-to-endCurious about science and how labs actually operateCS degree or equivalent[optional] Have experience with scientific data, Django, Next.js, GCP, SQL, early-stage startupsCompetitive base with flexible salary/equity split.
($180K - $240K, 0.50% - 2.00%)Work visas will be considered on a case-by-case basis.The pay range for this role is:180,000 - 240,000 USD per year (San Mateo, California)Apply nowGeneralSan Mateo, CAShare on:Apply nowTerms of servicePrivacyCookiesPowered by Rippling