Applied AI Engineer, Life Sciences (Beneficial Deployments)
Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Communication @ 6
LLM @ 3
AI @ 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’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Beneficial Deployments ensures AI reaches and benefits the communities that need it most by partnering with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.
About the role
You will join the Beneficial Deployments team focused on maximizing the impact of Claude in the life sciences. The goal is to accelerate scientific progress from R&D through translation by an order of magnitude — making Claude the go-to tool for the life sciences ecosystem (from early discovery in academia to biotech and pharma pipelines) and building the technical infrastructure to support that. You'll work directly with flagship research partners (for example, Howard Hughes Medical Institute and The Allen Institute), embedded in their scientific workflows, building alongside their engineers, prototyping agents that fit into real research pipelines, and developing ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills).
Responsibilities
- Partner with flagship life sciences research institutions: understand 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 such as 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.
- Identify deployment challenges in life sciences (heterogeneous data, auditability requirements, prototype-to-trust gap) and communicate findings to product, engineering, and research teams.
- Create technical content and documentation to enable partners to self-serve and scale solutions without extensive hand-holding.
Requirements / 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. Bonus if you’ve studied genomics, neuroscience, or drug discovery specifically.
- Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, and evaluation frameworks.
- Proven experience shipping production code and building systems used by real users.
- A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and focused on mission impact.
Logistics
- Annual salary: $280,000 - $320,000 USD
- Education requirement: At least a Bachelor's degree in a related field or equivalent experience.
- Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time (some roles may require more office time).
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, but cannot guarantee sponsorship for every role/candidate.
How we work / Culture
Anthropic works as a cohesive team on a few large-scale research efforts, values impact and collaboration, and hosts frequent research discussions. The team values strong communication skills.
Benefits (selected)
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration