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Output Biosciences
New York, United States; San Francisco, California, United States; New York, United States
Source: Output Biosciences careers · View original posting
From Output Biosciences's posting. “We” and “our” refer to the employer.
Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.
Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.
You will build Output's team. This is a full-cycle recruiting role covering every hire from AI research scientists to computational biologists to drug discovery leads. You need to understand both the AI/ML research community and the biotech talent landscape well enough to source, screen, and close candidates who work at the intersection of the two.
You will own end-to-end recruiting across all roles: sourcing, outreach, screening, managing interview loops, and closing
You will build and maintain a candidate pipeline through proactive sourcing, networking, and long-term relationship building with researchers and scientists in AI, biology, and drug discovery
You will conduct first-round screening interviews, evaluating candidates with enough technical fluency to distinguish real depth from surface familiarity in AI/ML and computational biology
You have 3+ years of full-cycle technical recruiting experience with a meaningful focus on AI/ML, research, or engineering roles
You have a track record of sourcing and closing niche technical talent in highly competitive markets
You have enough technical fluency in AI/ML to screen research candidates credibly: you understand the difference between someone who has trained models and someone who has used APIs, and you can assess publication records and research depth
Bonus Points
You have experience recruiting in biotech, drug discovery, or computational biology in addition to AI/ML
You have experience as the first or early recruiter at a startup, building processes from scratch
We encourage new and different ideas, creativity and contrarian thinking
Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
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