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LatchBio

Cloud-based data platform for biotech R&D

Member of Technical Staff - Science

AI ResearchUpdated on Nov 8
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have deep scientific expertise and experience using AI tools, or strong coursework in mathematics or computer science and experience working with scientists.

Responsibilities

  • Turn an understanding of a biological domain into a roadmap of benchmarks and design the benchmarks with engineers.
  • Design benchmarks with engineers and scientists by selecting scientific questions and datasets and developing reliable graders.
  • Work with engineers on large-scale computing and AI inference infrastructure to evaluate models and investigate their failures.
  • Research methods for evaluating scientific capabilities and measuring improvements from training.
  • Work with internal data-generation and drug-development teams to build tasks around real experiments and research decisions.
  • Build and manage a scientific team using a professional network and internal talent infrastructure.

About the Company

LatchBio

Cloud-based data platform for biotech R&D

Latch.bio provides a cloud-based data platform for biotech companies to manage and analyze their data. It stores unlimited raw data, organizes and transforms it, and offers analysis tools, all in one place. The platform also includes workflow orchestration, so teams can set up analyses that automatically run across many computing cores and scale as needed, while the interface makes it easy to view analysis results and make quick decisions. A key feature is a customizable data platform that eliminates the need for separate infrastructure setup and supports strong security for large-scale data processing. Compared with competitors, Latch.bio positions itself as a single, cost-efficient solution that replaces multiple tools and optimizes cloud usage to reduce expenses. Its goal is to help biotech companies move projects forward faster by making data analysis cheaper, simpler, and more accessible.

Company size
51-200
Company stage
Series B
Total funding
$163M
Headquarters
San Francisco, CA
Founded
2021

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