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Текст:
TL;DR
Applied AI Engineer (Life Sciences): Building LLM-powered tools, agents, MCP servers, benchmarks, and reusable agent skills for scientific research workflows with an accent on genomics, biomedical data, and production deployment. Focus on embedding with research institutions, solving heterogeneous data and auditability challenges, and scaling validated AI workflows across the life sciences ecosystem.
Location: London, UK. Hybrid policy: staff are expected to work from an Anthropic office at least 25% of the time, with some roles requiring more office presence.
Annual salary: £225,000–£255,000 GBP.
Company
Anthropic builds reliable, interpretable, and steerable AI systems, with a focus on safe and beneficial deployment.
What you will do
- Partner with life sciences research institutions to understand scientific workflows and build integrated production systems.
- Develop MCP servers for genomics platforms, literature databases, experimental repositories, and scientific instruments.
- Create scientifically grounded benchmarks and reusable agent skills for broader institutional adoption.
- Identify deployment challenges involving heterogeneous data, auditability, and the transition from prototypes to trusted systems.
- Share findings with product, engineering, and research teams while creating technical documentation for partner self-service.
Requirements
- Bachelor’s degree or equivalent education, training, or experience in a field relevant to the role.
- Deep research experience in life sciences, biomedical research, or scientific computing.
- 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.
- Ability to work independently in ambiguous environments, build from scratch, and collaborate closely with academic and engineering teams.
Nice to have
- Technical experience in genomics, neuroscience, or drug discovery.
- Experience working directly with academic researchers and scientific institutions.
Culture & Benefits
- Collaborative work on large-scale AI research and beneficial deployments.
- Flexible working hours and an office environment designed for collaboration.
- Generous vacation and parental leave.
- Competitive compensation and optional equity donation matching.
- Visa sponsorship is available, with immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.
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