Teams at Output Biosciences

Build and own agent orchestration, inference serving, APIs, and internal tools that turn model capabilities into multi-step workflows. Implement skills/tools for automated and interactive workflows, optimize inference for latency and throughput, integrate models into products, and establish engineering practices like testing, CI/CD, and observability.

Lead scientific strategy for AI-driven drug discovery: select and prioritize targets, evaluate model-generated candidates, manage CRO testing, and drive go/no-go decisions to advance compounds towards real-world validation.

Full-cycle technical recruiter responsible for sourcing, screening, and closing AI/ML and computational biology talent. Build candidate pipelines, run first-round technical screens, design interview frameworks, manage ATS data, represent the company at conferences, and partner with founders on hiring strategy and offers including salary and equity negotiations.