Applied AI Engineer: Life Sciences Deployments

Anthropic; San Francisco (CA); Hybrid; USD 280,000 - 320,000; Full time

Benefits offered by this job

Equity donation matching

Vacation time

Parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments team, focused on maximizing Claude's impact in the life sciences. You will prototype agents for real research pipelines and build ecosystem tooling that scales across institutions.

Work with flagship partners like HHMI and The Allen Institute, embedding in scientific workflows and contributing to the infrastructure behind Claude’s use in academia, biotech, and pharma.

Qualifications

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing; genomics/neuroscience/drug discovery is a plus.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• Scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations.

Responsibilities

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what’s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

Skills

Software engineering

Life sciences research

LLM tools

Production code shipping

Scrappy mindset

Education

Bachelor's degree

Tools

MCP servers

Agent skills

Job description

Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments team, focused on maximizing Claude's impact in the life sciences. You will prototype agents for real research pipelines and build ecosystem tooling that scales across institutions.

Work with flagship partners like HHMI and The Allen Institute, embedding in scientific workflows and contributing to the infrastructure behind Claude’s use in academia, biotech, and pharma.