Associate Director, Generative Ai Evaluation & Standards

Johnson & Johnson

Cornellà de Llobregat, Spain
On-site
Generative ai evaluation frameworks
Llm quality and rag performance
Scientific accuracy and regulatory compliance
Johnson & Johnson is seeking an Associate Director for Generative AI Evaluation & Standards to lead the evaluation and governance of AI systems in a regulated pharmaceutical R&D environment. The ideal candidate should possess extensive experience in AI evaluation, strong leadership skills, and a background in related fields such as data science or computational biology

Job Summary

  • Design and maintain evaluation frameworks for GenAI solutions spanning LLM quality, RAG performance, agent reliability, safety, and scientific accuracy.
  • Serve as technical lead for the Evaluation & Standards Board, a cross-functional governance body for GenAI quality.
  • Build and lead the GenAI Evaluation & Standards team, attracting, developing, and retaining top talent.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking an Associate Director for Generative AI Evaluation & Standards to lead the evaluation and governance of AI systems in a regulated pharmaceutical R&D environment. The ideal candidate should possess extensive experience in AI evaluation, strong leadership skills, and a background in related fields such as data science or computational biology.

Skills & Requirements

Must-have

  • Generative AI evaluation frameworks
  • LLM quality and RAG performance
  • Scientific accuracy and regulatory compliance
  • AI/ML evaluation in regulated environments
  • Leading technical teams in matrixed organizations

Nice-to-have

  • Domain expertise in oncology, immunology, or neuroscience
  • Influencing build-versus-buy decisions
  • Evaluating multi-modal AI systems
  • Familiarity with enterprise data standards

Key Requirements

  • Advanced degree (PhD strongly preferred)
  • Minimum 8 years of post-academic industry experience
  • Hands-on expertise with generative AI systems
  • Demonstrated track record designing evaluation frameworks
  • Strong people leadership experience

Work Rights

Not specified

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