Head of Discovery

Output has developed a biological reasoning model that understands biology at the scale and complexity life operates. The model independently learned principles of molecular interactions, enabling drug treatments previously impossible. Output is generating therapies beyond traditional approaches. The company is in stealth mode, led by repeat founders and biotech veterans with multiple AI x Bio exits, backed by top-tier VCs including Y Combinator. You are a drug hunter. You own the scientific strategy behind Output's drug discovery programs. You help select targets for our pipeline, evaluate what the models generate, and make the scientific decisions that advance candidates from computational generation to real-world testing. You will identify and evaluate therapeutic targets, building the scientific rationale for which programs to pursue and why You will analyze model outputs to assess drug candidates, evaluating biological plausibility, therapeutic potential, and readiness for advancement You will prioritize candidates and make scientific go/no-go decisions, advancing the strongest compounds through the discovery pipeline You will manage CRO partnerships for candidate synthesis and biological testing, designing experiments that validate or refine drug design hypotheses You will work closely with the founders and model team, bringing drug discovery expertise to model evaluation and development priorities You will stay current with target biology, disease mechanisms, and the clinical landscape across relevant therapeutic areas

About You

You have a PhD in pharmacology, medicinal chemistry, chemical biology, computational biology, or a related field with 5+ years of drug discovery experience in pharma or biotech, or equivalent depth through extensive industry experience You have hands-on experience advancing drug discovery programs through pipeline stages: target selection, hit identification, hit-to-lead, and lead optimization You have demonstrated experience evaluating drug candidates and making scientific go/no-go decisions on real programs You are comfortable working directly with computational model outputs and analyzing AI-generated molecular data You have strong scientific judgment across target biology, disease mechanisms, and therapeutic modalities You can build and defend a scientific rationale, communicate across disciplines, and make decisions under uncertainty

Bonus Points

You have experience with AI-driven drug discovery or computational drug design tools You have experience managing CRO relationships for synthesis and biological testing