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Latchbio

Member of Technical Staff, Science

  • Seen live on Latchbio's site 2 days ago
  • Senior
Pay
Not stated
Location
San Francisco, USA
Open for
12+ days
First seen
Oct 23, 2026
Apply on Latchbio's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Latchbio'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 Latchbio, so its true age is longer.

Last checked Nov 2, 2026.

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What the posting discloses

Not stated: Pay, 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.

Some employers add pay only on their own site. Check the original posting before you rule it out.

About the role

Member of Technical Staff, Science

Our mission is to advance humanity's ability to engineer biology. We approach this by understanding and improving AI’s application to biology across basic research, drug discovery, and biosecurity. We are a team of engineers, scientists, and operations specialists who are driven by improving capabilities and interpretability. Some of our work is showcased on benchmarks.bio .

About this role. You’ll turn your understanding of a biological domain into a roadmap of benchmarks and design them with engineers. You’ll then build and manage your own scientific team using your network and internal talent infrastructure.

You have

(1) deep scientific expertise and experience using AI tools

(2) or strong coursework in math/CS and experience working with scientists

This is a high-intensity, founder-type role. Our Members of Technical Staff have built companies, run drug programs and scaled complex technical projects.

Projects you might work on

  • Design benchmarks with engineers and scientists, from selecting scientific questions and datasets to developing reliable graders.
  • Work with engineers on large-scale computing and AI inference infrastructure to evaluate models and investigate their failures.
  • Research new methods for evaluating scientific capabilities and measuring improvements from training.
  • Work with our internal data generation and drug development teams to build tasks around real experiments and research decisions.

How we work. Our MTS team works in person in Mission Bay, San Francisco. We keep meetings to a minimum and are flexible about when you arrive or leave. Tight deadlines and customer commitments sometimes require late hours.

Our work in use. Frontier AI labs use our benchmarks to assess biological capabilities and safeguards. Our work appears in research announcements and model cards, including

  • Anthropic: Claude Fable 5.1 and Mythos 5.1 system card
  • Anthropic: Claude Opus 5.5 system card
  • Anthropic: Advancing Claude in healthcare and life sciences
  • xAI: Grok 4.7 model card
  • xAI: Biosecurity at the frontier

Hiring Process.

Our process is typically completed within two weeks.

  • Round 1: Introduction
  • Round 2: Technical project matching
  • Round 3: Take-home evaluation project (~2 hours)
  • Round 4: Technical interview / live engineering session (1 hour)
  • Round 5: Paid onsite project and presentation (2–3 days)
  • Offer

Compensation & Benefits

  • 350K-500K+ OTE
  • Equity
  • Unlimited PTO
  • Health, dental and vision insurance fully covered
  • Visa sponsorship and relocation assistance
  • 401(k)
  • Office in Mission Bay, San Francisco
  • Lunch and dinner provided

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