Full Stack Software Engineer
At a glance
Mid-level Full-stack Engineering role at Labric. San Mateo · full-time · $140,000–$200,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build systems that bring lab data in, standardize it, store it and make it searchable
- Create data structures so varied lab information can be queried
- Develop Python services and TypeScript/Next.js interfaces across the product
- Talk with scientists to turn their research problems into working software
- Keep the platform dependable while balancing delivery speed against quality
What you bring
- You are strong in both Python and TypeScript
- You understand database internals as well as practical database use
- You can take problems from definition through implementation on your own
Who this fits
This mid-level role suits an engineer comfortable owning work across backend and frontend, with an interest in how labs operate. 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
- 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. ($140K - $200K, 0.50% - 2.00%)
Work visas will be considered on a case-by-case basis.