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Anthrogen is engineering post-modality biology by developing AI systems that design modular biological machines and the experimental infrastructure to instantiate them. The company is a small, high-density team in San Francisco focused on frontier AI and biological systems validation.
As a Research Scientist in-vivo, you will own in-vivo research for designed biological systems. This is a hands-on scientific role requiring deep expertise in translating molecular behavior from dish to living systems. You'll distinguish why molecules succeed or fail in vivo—whether due to tissue reach, persistence, or unexpected biological context—and design experiments to answer those questions.
Key responsibilities:
- Define study questions, select appropriate animal models, and establish endpoints and analysis plans before execution
- Design and execute studies with internal colleagues and external partners, maintaining ownership of experimental quality and interpretation
- Connect exposure and tissue distribution to target engagement and functional outcomes, rather than evaluating efficacy in isolation
- Investigate in-vitro to in-vivo discrepancies and translate findings into testable changes to molecules or experimental approaches
- Build reproducible workflows for sample collection, downstream measurements, and analysis in coordination with assay scientists
- Plan and conduct work within approved animal-care protocols with appropriate oversight, humane endpoints, and careful animal use
You will work closely with Platform scientists and ML researchers to make results actionable for design iteration, including when studies do not support the original hypothesis.
Requirements:
- Independently driven rigorous in-vivo research experience with ability to defend model selection, controls, analysis, and conclusions
- Deep hands-on experience in a relevant model system with understanding of both practical limitations and translational relevance to human biology
- Ability to reason about pharmacokinetics, pharmacodynamics, and biological mechanism together; distinguish insufficient exposure from lack of activity
- Strong experimental design discipline: randomization, blinding where feasible, justified sample sizes, explicit handling of variability
- Scientific independence combined with meticulous execution, documentation, and strong commitment to animal welfare
- Bonus: experience with engineered proteins or protein-based systems in vivo; depth in oncology, immunology, or disease areas relevant to engineered biological interventions; translational biomarker development; quantitative analysis skills; experience with external research partners
