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Labric

Full Stack Software Engineer

  • Seen live on Labric's site 2 days ago
  • Mid level
Pay
$140k to $200k a year USD
Location
San Mateo, CA
Open for
12+ days
First seen
Oct 23, 2026
Apply on Labric's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Labric's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Labric, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

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What the posting discloses

Pay
$140k to $200k a year USD
($140K - $200K, 0.50% - 2.00%) (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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.

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