Senior Full Stack Software Engineer
At a glance
Senior Full-stack Engineering role at Labric. San Mateo · full-time · $180,000–$240,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build the systems that bring lab data in, standardize it, store it and make it searchable
- Create database structures that let different kinds of lab data be queried
- Deliver features across Python services and a TypeScript/Next.js interface
- Turn scientists’ domain challenges into working software, while balancing reliability, quality and speed
What you bring
- At least four years working as a software engineer
- Strong Python and TypeScript skills, plus a deep grasp of database internals
- Ability to take problems from definition through implementation on your own
Who this fits
This role suits a senior engineer who enjoys working across backend and frontend systems and is curious about how scientific labs operate. The position is in San Mateo, and work visas are considered individually.
From the employer
About Labric
Effective 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 work
- 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
- 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
- [optional] Have experience with scientific data, Django, Next.js, GCP, SQL, early-stage startups
Competitive base with flexible salary/equity split. ($180K - $240K, 0.50% - 2.00%)
Work visas will be considered on a case-by-case basis.
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