Applied AI Engineer: Life Sciences Impact & Deployments

Engg; Greater London; Hybrid; GBP 225,000 - 255,000; Full time

Job summary

Anthropic is seeking an Applied AI Engineer to join Beneficial Deployments, aimed at maximizing Claude's impact in life sciences. Work with leading partners, prototyping agents in real pipelines and building ecosystem tooling.

You’ll help translate research into production workflows that scale across institutions. Key tasks include shaping domain-specific infrastructure, aligning research with practical deployments, and creating self-serve content to broaden access.

Qualifications

• Deep research experience in life sciences, biomedical research, or scientific computing.
• Bonus if you’ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
• 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.
• A scrappy mentality – comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

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 these 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-handling.

Skills

Life sciences research

Genomics/Neuroscience

LLM tooling

Production software engineering

Scrappy mindset

Education

Bachelor's degree or equivalent

Tools

MCP servers

Prompting frameworks

Job description

Anthropic is seeking an Applied AI Engineer to join Beneficial Deployments, aimed at maximizing Claude's impact in life sciences. Work with leading partners, prototyping agents in real pipelines and building ecosystem tooling.

You’ll help translate research into production workflows that scale across institutions. Key tasks include shaping domain-specific infrastructure, aligning research with practical deployments, and creating self-serve content to broaden access.