Scientific Lead, Generative Ai Engineer, Applied Intelligence For Discovery

Eli Lilly

Indianapolis, Indiana, US
Base: $181,500 - $283,800; bonus/equity: compyny b...
Hybrid
Phd in computer science or data science
Experience building production llm systems
Strong python software engineering skills
The role involves designing core AI systems that power the transformation of drug discovery research through retrieval-augmented generation and agentic workflows

Job Summary

  • The role involves designing core AI systems that power the transformation of drug discovery research through retrieval-augmented generation and agentic workflows.
  • Candidates must possess a PhD in Computer Science or Data Science with 0-3+ years of experience, or an MS with 5+ years of equivalent experience.
  • The position offers a competitive salary range of $181,500 to $283,800 along with comprehensive benefits including a company bonus and 401(k) eligibility.

Matching Summary

The role involves designing core AI systems that power the transformation of drug discovery research through retrieval-augmented generation and agentic workflows.

Salary

Base: $181,500 - $283,800; Bonus/Equity: Company bonus depending on performance; Benefits: 401(k), pension, medical, dental, vision, vacation, well-being programs

Skills & Requirements

Must-have

  • PhD in Computer Science or Data Science
  • Experience building production LLM systems
  • Strong Python software engineering skills
  • Deep familiarity with modern LLM ecosystem
  • Experience designing evaluation frameworks

Nice-to-have

  • Experience in pharmaceutical or biotech environments
  • Familiarity with biomedical data types like omics
  • Knowledge of biomedical ontologies such as Gene Ontology
  • Experience building for regulated environments
  • Familiarity with cloud computing and containerization

Key Requirements

  • PhD in Computer Science, Data Science, or related field
  • MS in Computer Science, Data Science, or related field with 5+ years experience
  • Equivalent experience building production LLM systems

Work Rights

Not specified

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