Phylo is an applied research lab dedicated to studying agentic intelligence to accelerate discoveries for every biomedical scientist. Backed by a16z.
About the role
Our Scientific Solutions team is where our science meets our customers. We're hiring forward deployed scientists with industry experience to partner closely with our enterprise customers, raise the scientific bar of our agents, and make sure outputs hold up under real scientific scrutiny.
What they're looking for
- PhD training in a relevant field (or MD/PhD or equivalent), with strong command of common biomedical tools, databases, and analytical workflows
- Industry experience in biotech or pharma (computational biology, bioinformatics, or a closely related function)
- Solid engineering skills : writing code, building pipelines, and working with biological data at scale
- Comfort working directly with enterprise customers and translating their scientific needs into technical requirements, including running training sessions
- A strong communicator who can explain complex ideas clearly to both scientists and executives
- Ability to move quickly in a fast-paced research and product environment
More about this role
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
Our Scientific Solutions team is where our science meets our customers. We're hiring forward deployed scientists with industry experience to partner closely with our enterprise customers, raise the scientific bar of our agents, and make sure outputs hold up under real scientific scrutiny.
The role has two parts: One is constructing the bio environment our agents rely on : building and curating the biomedical skills, tools, databases, and data integrations that power them. The other is making sure the science holds up : designing evaluation pipelines and...
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