Applied AI Engineer, Beneficial Deployments (Life Sciences)
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
LLM @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking an Applied AI Engineer to join the Beneficial Deployments team and maximize the impact of Claude in the life sciences. The role focuses on accelerating scientific progress from research and development through translation by building AI tools and technical infrastructure for the life sciences ecosystem.
The engineer will work directly with research partners including the Howard Hughes Medical Institute and the Allen Institute, embedding with their scientific workflows and engineering teams. The role involves prototyping agents for real research pipelines and developing ecosystem tooling such as MCP servers, benchmarks, and reusable agent skills.
Responsibilities
- Partner with flagship life sciences research institutions to understand scientific workflows, build alongside engineering teams, and take projects from early exploration to production systems integrated into day-to-day scientific work.
- Develop reusable ecosystem infrastructure, including MCP servers for domain-specific data sources such as genomics platforms, literature databases, and experimental repositories.
- Build integrations for scientific instruments, scientifically grounded benchmarks, and reusable agent skills that other institutions can adopt.
- Identify challenges in deploying AI in life sciences, including heterogeneous data, auditability requirements, and the prototype-to-trust gap, and communicate findings to product, engineering, and research teams.
- Create technical content and documentation that enables partners to self-serve and allows successful solutions to scale globally.
Requirements
- Deep research experience in life sciences, biomedical research, or scientific computing.
- Experience with genomics, neuroscience, or drug discovery is a bonus.
- Ability to work deeply and technically with academic researchers.
- Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, or evaluation frameworks.
- Experience shipping production code as a software engineer, forward-deployed engineer, or technical founder.
- A scrappy, adaptable approach, with the ability to build from scratch, work across multiple functions, drive clarity in ambiguous situations, and take on varied responsibilities.
- Bachelor's degree or an equivalent combination of education, training, and experience.
- A field of study relevant to the role, as demonstrated through coursework, training, or professional experience.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.
Work Policy and Immigration
Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas where possible and makes reasonable efforts to obtain visas for candidates who receive an offer, with support from an immigration lawyer.