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Chai Discovery

Strategy

Location
San Francisco, CA, US
Employment type
Full-time
Posted
30 September 2026 (about a month ago)

Checked 23 days agoApplications go to the employer, never to RoleSprint

About this role

ABOUT CHAI DISCOVERY

Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, GSK https://endpoints.news/chai-discovery-signs-gsk-deal-to-make-biologics-with-ai/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, Bristol Myers Squibb https://www.linkedin.com/feed/update/urn:li:activity:7496300911523246080/, argenx https://x.com/chaidiscovery/status/2077422480617267230?s=20 and Novartis https://www.chaidiscovery.com/news/novartis-partnership all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.

We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.

We value diverse perspectives and are ready to find greatness in unexpected places.

ABOUT THE ROLE

We are building a strategy team to take on the hardest open questions about our business and turn them into decisions we act on.

Chai's business model has no real precedent. We sell a new kind of technology into a very large market, in an era where few people can say with confidence where things are headed. The questions are hard and the answers consequential: how we price, which segments and products we expand into, and what makes our position durable. You'll need to be ready to embed with teams on problems ranging from scaling lab capacity and buy versus build compute to winning the war for talent.

The work runs from framing to implementation. You'll scope a problem, run primary research with customers and outside experts, build the quantitative case, reach a conclusion, and see it through. A project isn't done when the memo is written. It's done when the decision is made and in place.

ABOUT YOU

You are a structured, quantitative thinker with good instincts. You produce conclusions, not just inputs. You know how to influence, pushing decisions across teams until they land.

You are comfortable making justified assumptions with incomplete information, and disciplined about revisiting them. You know which threads to pull on an expert call. You have a nose for connecting dots, extracting signal, and folding new data points into the larger picture.

You likely trained in management consulting, venture or growth investing, or quantitative research, and may have moved into strategy or special projects at a high-growth technology company. Data science or CS experience is a plus. Biotech or pharma experience isn't required—range across industries and situations is valuable, as is the ability to learn a technical domain quickly.

WE OFFER

The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.

Work location

  • San Francisco, CA, US

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About this listing

Published on Ashby under the board identifier Chaidiscovery, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 30 September 2026, last checked 23 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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