The opportunity
As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to the top AI-native life sciences and biotech startups as they grow from early product to scale. Some of these companies build products on Claude that they sell to the rest of…
What you'll do
Serve as a deep technical advisor to high-potential life sciences and biotech: startups, whether Claude sits inside the product they sell or inside the way they make discoveries, working alongside them to build innovative use cases that push the boundaries of AI in scientific research and development
Work hands-on with startup engineering teams and their scientists through: pair programming and architecture reviews that accelerate their development, and understand their scientific workflows end to end so that your guidance fits into real research pipelines
Develop prototypes and technical documentation, including evaluation suites,: scientifically grounded benchmarks, AI engineering techniques, and architecture diagrams, that enable startups to build, operate, and scale with Claude
Create reference implementations and sample code that many companies can: adopt without starting from scratch, such as example MCP servers for domain-specific data sources like genomics platforms, literature databases, and experimental repositories, along with agent skills for common scientific workflows
Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements
Identify patterns across engagements, including what is hard about deploying: AI in the life sciences such as heterogeneous data, auditability requirements, and the gap between a working prototype and a system that scientists trust, and contribute insights back to Product, Engineering, Research, and the broader Applied AI team, including feedback on the model capabilities and product features that would most accelerate discovery work
What they're looking for
- Create technical content for startup audiences including documentation, tutorials, and sample code
- Represent Anthropic across the life sciences startup ecosystem and foster: community engagement through hackathons, webinars, technical office hours, in-person founder events, and research show and tells
- Travel to customer sites for workshops, implementation guidance, and relationship building
