USD per year
The Role 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 will design and continuously improve screening frameworks and interview processes, ensuring Output identifies exceptional talent efficiently and consistently
- You will represent Output at key venues including AI conferences (NeurIPS, ICML, ICLR) and biotech events, building relationships with researchers, PhD students, and postdocs
- You will partner with the founders and hiring managers to define roles, set hiring strategy, and ensure every candidate experiences a rigorous and human process
- You will own and maintain the ATS, keeping pipeline data clean and using it to track progress, identify bottlenecks, and improve workflows
- You will manage the process through to offer: structuring competitive compensation packages, presenting offers to candidates, and handling negotiations on equity, salary, and terms
We’re a fully integrated AI lab building Artificial General Biological Intelligence (AGBI), from the molecular level up to whole systems. We’ve built mechanistic reasoning models where reasoning over biological interactions at the molecular level emerges from molecules alone. The discovery of new biology and design of therapeutic moonshots become routine.
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