Applied AI Engineer, Startups (Life Sciences)
Core
Trusted technical advisor to AI-native life sciences and biotech startups, helping them build products and research pipelines using Claude.
Role type
Senior Applied AI Engineer (Life Sciences)
Builds
Custom evaluation frameworks, scalable architectures, reference implementations, and sample code for scientific workflows.
Domain
Life Sciences / Biotech / AI Engineering
Deliverable
production ML models
Required skills
Life sciences domain expertise (genomics, drug discovery, molecular design), LLM application development, agent architectures, evaluation frameworks, startup experience, technical communication
Preferred skills
Experience with founders, ability to run technical workshops, travel for customer sites
Technologies
Claude, MCP servers, genomics platforms, literature databases, experimental repositories
Responsibilities
Lead deep technical engagements with startup engineering and scientific teams, develop prototypes and technical documentation, create reference implementations and sample code, identify patterns across engagements to improve product features, represent Anthropic in the life sciences ecosystem
Seniority
Senior, hands-on IC
