Scientific Lead, Applied Intelligence For Discovery

Eli Lilly UK

Base: $166,500 - $266,200; bonus/equity: compyny b...
Hybrid
Python production-grade system development
Rag pipeline design and optimization
Text-to-sql system implementation
Eli Lilly UK is seeking a Scientific Lead for its Applied Intelligence for Discovery team, a role focused on leveraging AI to enhance drug discovery processes. The ideal candidate will have a strong background in computer science or data science, with experience in building production LLM systems

Job Summary

  • The role involves building an unprecedented AI foundation to fundamentally change how drug discovery research is conducted at Eli Lilly.
  • Key responsibilities include designing retrieval-augmented generation pipelines over scientific documents and developing text-to-SQL systems for complex omics databases.
  • Candidates will work in a newly formed Applied Intelligence for Discovery team that operates at the intersection of scientific delivery and core platform development.

Matching Summary

Match Score: 85

Eli Lilly UK is seeking a Scientific Lead for its Applied Intelligence for Discovery team, a role focused on leveraging AI to enhance drug discovery processes. The ideal candidate will have a strong background in computer science or data science, with experience in building production LLM systems.

Salary

Base: $166,500 - $266,200; Bonus/Equity: Company bonus depending on performance; Benefits: Comprehensive program including 401(k), medical, dental, vision, vacation, and well-being benefits.

Skills & Requirements

Must-have

  • Python production-grade system development
  • RAG pipeline design and optimization
  • Text-to-SQL system implementation
  • Agentic workflow orchestration
  • LLM evaluation framework creation

Nice-to-have

  • Experience with pharmaceutical or biotech data
  • Familiarity with biomedical ontologies
  • Knowledge of regulated environment requirements
  • Cloud computing experience on AWS
  • MLOps/LLMOps tooling proficiency

Key Requirements

  • PhD in Computer Science with 0-3+ years experience
  • MS in Computer Science with 5+ years experience
  • Equivalent experience building production LLM systems

Work Rights

Not specified

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