Harmonize your Wet and Dry Lab. Backed by Lux.
About the role
As a Technical Recruiter, you are sourcing and closing the people who make that scale possible. You'll recruit across the assay platforms we benchmark: spatial transcriptomics, scRNA-seq, proteomics, genomics, biosurveillance, omics, and other emerging fields, mainly sourcing wet-lab and computational experts, as well as Sales and Operational talent.
What they're looking for
- Opinionated. You have real points of view on candidates and process, and you defend them
- Comfortable with shifting priorities. Goals move fast here, you move with them
- Relentless about quality. "Good enough" isn't in your vocabulary
- A culture advocate. You actively protect and reinforce what makes Latch's team work
- Growth-minded. You're always looking for the sharper version of how you operate
More about this role
As molecular data generation and frontier model intelligence grows, new approaches to biological intelligence are needed across the biotech industry.
Latch works with 5,000+ scientists, 150+ R&D labs, and many Frontier AI Labs to help develop and deploy the next generation of biological AI Agents, from experiment to insight. See what that looks like at benchmarks.bio .
This is a super critical and exciting time for the company, we've 4x'd our team to 90 people and eight figures in revenue, and we're doubling every couple of months. We're compounding on massive product initiatives while thoughtfully building the culture and people behind LatchBio.
We're built to rapidly scale the technical organization required to engineer superhuman intelligence in every domain of biology.
A large part of our founding team has worked together for 5+ years, with deep friendships and trust in each other. That trust is what lets us move fast with low coordination overhead: deciding quickly, disagreeing well, and scaling without losing any of it.
As a Technical Recruiter, you are sourcing and closing the people who make that scale possible. You'll recruit across the assay platforms we benchmark:...
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