Manager, Applied AI Engineering, Beneficial Deployments (Life Sciences)
About the role
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About
the role: Biology is the area where scientific progress has perhaps the greatest potential to directly and unambiguously improve human life — and we believe powerful AI could meaningfully accelerate the rate of biological discovery, helping compress decades of progress into years. With Claude for Life Sciences , we're building tools that accelerate the work of scientists and drug developers across the full lifecycle, from early discovery through clinical translation and regulatory review. As the Applied AI Engineering Manager for Life Sciences, you'll lead
the team of engineers who turn that ambition into deployed reality inside the world's leading scientific organizations. Our Applied AI Engineers are the technical front line: they sit with customers, understand their scientific and regulatory workflows in depth, and build the prototypes, integrations, and agents that let Claude do meaningful work in the lab and the clinic. You'll grow and lead this team, own the technical success of our most strategic life sciences accounts, those ties to advancing our strategy and mission, and create the feedback loop that turns what we learn in the field into better products and models. This is more than wiring up a chatbot. As our own research has shown, the hard part of putting agents to work in biology is the infrastructure beneath them: messy databases, idiosyncratic file formats, scattered APIs, and metadata conventions where a single wrong or missing record can change a scientific conclusion. Your team builds the deterministic tools, connectors, and evaluations that make biological data reliably accessible to agents — and holds the work to a research-grade bar, where an answer has to be correct, reproducible, and auditable, not just plausible. This is a hands-on leadership role. You'll coach engineers and raise the bar on their work, stay close enough to the technology to review prototypes and contribute directly, and partner across go-to-market, product, and research. Because this work sits in a sensitive, dual-use domain, you'll also help set the standard for how we deploy responsibly — enabling legitimate science while taking safety seriously. In this role, you will: Build and lead
Amazon
