Join Chai Discovery's strategy team to tackle complex business questions and drive impactful decisions in AI-driven drug discovery.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Chai builds AI models for drug discovery, enabling scientists to pursue targets that traditional methods cannot reach.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the strategy team member will tackle complex business challenges, transforming them into actionable decisions that drive Chai Discovery's growth. Key skills include structured thinking, quantitative analysis, and the ability to influence cross-functional teams, with a background in management consulting or quantitative research being advantageous. This position is suited for individuals who thrive in high-growth environments and can quickly adapt to new technical domains, making it ideal for those with diverse industry experience.
Joblaze insights
Quick facts
From the original posting
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.
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.
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