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Описание вакансии
Текст:
TL;DR
Applied AI Engineer (Life Sciences) (LLM agents and scientific computing): Building Claude-powered agents, MCP servers, benchmarks, and reusable agent skills for life sciences research workflows with an accent on genomics, biomedical data, and production deployment. Focus on integrating AI into scientific pipelines, solving heterogeneous data and auditability challenges, and scaling partner solutions across the life sciences ecosystem.
Location: San Francisco, CA or New York City, NY; staff must work from one of the offices at least 25% of the time
Annual salary: $280,000–$320,000 USD
Company
Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems.
What you will do
- Partner with life sciences research institutions to understand scientific workflows and build systems integrated into daily research.
- Develop reusable MCP servers for genomics platforms, literature databases, experimental repositories, and scientific instruments.
- Create scientifically grounded benchmarks and reusable agent skills for adoption across research institutions.
- Investigate challenges in life sciences AI deployment, including heterogeneous data, auditability, and the prototype-to-trust gap.
- Feed deployment findings back to product, engineering, and research teams.
- Create technical content and documentation that enables partners to self-serve and scale successful solutions.
Requirements
- Bachelor’s degree or an equivalent combination of education, training, and experience.
- Relevant education or professional experience in life sciences, biomedical research, or scientific computing.
- Experience building LLM-powered tools or applications using 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 across multiple responsibilities, build from scratch, and operate effectively in ambiguous situations.
- Visa sponsorship is available, subject to role and candidate eligibility.
Nice to have
- Technical experience in genomics, neuroscience, or drug discovery.
- Experience working deeply with academic researchers.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business disciplines.
- Flexible working hours and office-based collaboration.
- Generous vacation and parental leave.
- Competitive compensation and benefits, including optional equity donation matching.
- Frequent research discussions focused on high-impact AI research and trustworthy, steerable systems.
Hiring process
- Candidate AI usage is governed by Anthropic’s application-process policy.
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