Life Sciences AI Architect for Claude Deployment

Anthropic

Greater London

Hybrid

GBP 165,000 - 190,000

Full time

14 days+

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Job summary

Anthropic is seeking an Applied AI Architect for Beneficial Deployments, focusing on Claude adoption in life sciences. You will advise flagship research institutions, translate workflows into scalable AI solutions, and drive deployments from discovery to translation.

The role blends deep technical execution with stakeholder relationship-building in a mission-driven team. We value experience with academia, biotech or pharma, and a strong track record in teaching and mentoring, along with

Qualifications

  • 8+ years in a technical role, ideally with customer-facing exposure.
  • Experience in life sciences, biomedical research, or scientific computing.
  • Familiarity with LLM implementation patterns and evaluation frameworks.
  • Experience with academic research institutions, biotech, pharma, or mission-driven scientific orgs.

Responsibilities

  • Serve as the primary technical advisor to life sciences partners throughout Claude adoption.
  • Translate scientific workflows into impactful solutions from discovery to deployment.
  • Lead cohort-based accelerators to scale expertise and impact across institutions.
  • Identify hard deployment challenges and feed findings back to product/engineer teams.
  • Build technical content and demos to enable global scaling without heavy hand-holding.

Skills

8+ years experience
Customer-facing
LLM implementations
Life sciences experience
Teaching/mentoring

Education

Bachelor’s degree

Tools

Claude Code
Claude Science
Presentations

Job description

Anthropic is seeking an Applied AI Architect for Beneficial Deployments, focusing on Claude adoption in life sciences. You will advise flagship research institutions, translate workflows into scalable AI solutions, and drive deployments from discovery to translation.

The role blends deep technical execution with stakeholder relationship-building in a mission-driven team. We value experience with academia, biotech or pharma, and a strong track record in teaching and mentoring, along with

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