Full-Time

Data Generation

Posted on 11/6/2025

Chai Discovery

Chai Discovery

11-50 employees

AI foundation models for molecular interactions

No salary listed

San Francisco, CA, USA

In Person

Category
Operations & Logistics (2)
,
Requirements
  • Expert in data operations, or a fast-rising generalist capable of taking the reins of data generation at Chai.
Responsibilities
  • Set the vision and execute scaling of Chai’s lab-in-the-loop data platform.
  • Drive contract research organization and external research partners.
  • Work hand-in-hand with science and research teams.
  • Design and drive complex projects and workflows across multi-party relationships.
  • Translate scientific goals into concrete, vendor-friendly instructions—assays, deliverables, statements of work, timelines, sample trackers, etc.
  • Juggle concurrent projects and priorities, adapting quickly and keeping everyone in sync.
  • Communicate highly technical information with clarity.
  • Define a vision for how to scale data generation efforts by orders of magnitude.
Desired Qualifications
  • Exposure to startups or other intense environments.
  • Organized and scrappy.
  • Detail-oriented and fast-moving.
  • Flexible, proactive, ambitious.

Chai Discovery develops AI foundation models that predict how biochemical molecules interact. Its flagship model, Chai 1, is a multimodal system that forecasts structures and interactions for proteins, small molecules, DNA, RNA, and covalent modifications. The model is accessible for free via a web interface, enabling academics and industry teams to explore drug discovery ideas and hypotheses, with revenue from commercial licensing and pharma partnerships. Chai’s goal is to speed up biotech R&D by providing accessible AI predictions that guide experiments and design.

Company Size

11-50

Company Stage

Series B

Total Funding

$230M

Headquarters

San Francisco, California

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • Free Chai-1 access broadens academic adoption and future commercial conversion.[1][6]
  • Chai-2 compresses antibody discovery from 12-24 months to four-eight weeks.[1]
  • Partnerships with Eli Lilly and OpenAI validate enterprise demand and technical credibility.[4][2]

What critics are saying

  • Free web access can reduce paid licensing conversion and encourage platform substitution.[1][6]
  • Pharma incumbents and AI rivals can match the category with larger datasets.[2][4]
  • Model validation risk remains high if experimental hit rates fail in independent labs.[1][4]

What makes Chai Discovery unique

  • Chai-1 is an open-source multimodal model for biochemical structure prediction.[1][5]
  • Chai-2 targets de novo antibody design with double-digit experimental hit rates.[1][2]
  • The Lilly collaboration uses proprietary data to train custom, partner-specific models.[4]

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Chai Discovery becomes newest AI unicorn, raising $130M Series B at $1.3B valuation. Senior biopharma correspondent. Chai Discovery has closed a $130 million Series B at a $1.3 billion valuation, continuing a furious fundraising pace since being founded Get free access to a limited number of articles, plus choose newsletters to get straight to your inbox.

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