Jobs at Output Biosciences

Member of the Technical Staff, Biological Data at Output Biosciences is responsible for owning the data that biological reasoning models learn from. This involves constructing and expanding training datasets, designing benchmarks, and developing data strategies in collaboration with model researchers.

Member of the Technical Staff, Pretraining at Output Biosciences is a research role focused on advancing the core architecture and training of the company's biological reasoning foundation model. The role involves designing architectures, developing training objectives, running pretraining at scale, and evaluating the model's biological reasoning capabilities.

Member of the Technical Staff, Generative at Output Biosciences is a senior engineering role focused on designing and developing generative models for molecular data. The role involves building systems that produce novel, biologically grounded molecules across various modalities, including small molecules and peptides, and integrating biological reasoning into the generative pipeline.

Member of the Operations Staff, Business Development at Output Biosciences. This role involves building the partnering engine from the ground up, identifying and mapping potential partners in drug discovery and beyond, owning the pipeline, preparing partner-ready materials, and building and maintaining industry networks.

This is a full-cycle Technical Recruiter role focused on building the team at Output Biosciences, a stealth-mode AI x Bio company. The recruiter will own end-to-end recruiting for roles spanning AI research scientists to drug discovery leads, requiring fluency in both the AI/ML research community and the biotech talent landscape.

Software Engineer, Agents at Output Biosciences. This role involves building the agent infrastructure, including orchestration, inference serving, internal tooling, and interfaces. Responsibilities include designing and implementing agent orchestration systems, agent skills and tools, inference infrastructure, APIs and integrations, and internal research tools.

Head of Biology at Output Biosciences, an AI x Bio company. This role owns the feedback loop between biological reasoning models and experimental validation, managing CRO partners for synthesis and testing, interpreting results, and feeding them back to improve models.

Member of the Technical Staff, Interpretability at Output Biosciences. This role focuses on developing methods to understand and interpret a biological reasoning foundation model. Responsibilities include probing model representations, designing experiments to characterize capabilities, building tools for explicit biological understanding, and connecting model internals to biological concepts.