Software Engineer, Biology & Life Sciences

Anthropic Anthropic · AI Frontier · AI Research & Engineering

Software Engineer to join the Life Science team, focusing on building robust, scalable AI systems to accelerate progress in life sciences. The role involves prototyping new products, developing critical infrastructure, and implementing efficient solutions for complex scientific problems, working at the intersection of AI and biology. Collaboration with researchers and domain experts is key, with a focus on translating biological requirements into technical implementations and ensuring Claude is capable of enabling complex workflows.

What you'd actually do

  1. Develop deep understanding of critical workflows in life science and build novel AI solutions to address the needs of biologists and life science professionals
  2. Rapidly prototype novel products and product features
  3. Create intuitive interfaces that enable scientists to effectively utilize our AI tools for discovery and analysis
  4. Collaborate with domain experts to translate complex biological requirements into technical implementations
  5. Work closely with research including post-training to ensure Claude is uniquely capable of enabling complex workflows in these areas.

Skills

Required

  • 7+ years of practical experience building production full-stack software
  • data analysis
  • experimentation frameworks
  • data-driven approach to problem-solving
  • understanding of AI/ML models and their capabilities
  • experience integrating and working with AI/ML models

Nice to have

  • Startup experience, particularly in building products from zero to one

What the JD emphasized

  • 7+ years of practical experience building production full-stack software
  • critical infrastructure
  • production workloads
  • production systems
  • post-training

Other signals

  • building robust, scalable systems
  • handling high-volume production workloads
  • leveraging engineering expertise to prototype new products and features
  • developing critical infrastructure
  • implementing efficient solutions for complex scientific problems
  • collaborating with world-class researchers and engineers to translate innovative ideas into reliable production systems