Sr. Principal Or Engineering Advisor - Agentic Lab Automation Integration

Eli Lilly

Indianapolis, Indiana, United States
Base: $87,000 - $222,200; bonus/equity: compyny bo...
Phd in chemical or mechanical engineering
Experience with lims engineering
Integration of ai with lab automation
This role focuses on rebuilding the Design-Make-Test-Analyze cycle by integrating agentic AI, cloud-based orchestration, and LIMS infrastructure to accelerate molecule discovery

Job Summary

  • This role focuses on rebuilding the Design-Make-Test-Analyze cycle by integrating agentic AI, cloud-based orchestration, and LIMS infrastructure to accelerate molecule discovery.
  • The successful candidate will engineer the connective tissue between Agentic AI and physical lab systems, designing agent workflows that reason over experimental data and trigger automated actions.
  • Lilly offers a comprehensive benefit program including medical, dental, vision, 401(k) matching, and various employee resource groups supporting diverse communities.

Matching Summary

This role focuses on rebuilding the Design-Make-Test-Analyze cycle by integrating agentic AI, cloud-based orchestration, and LIMS infrastructure to accelerate molecule discovery.

Salary

Base: $87,000 - $222,200; Bonus/Equity: Company bonus depending on performance; Benefits: Comprehensive medical, dental, vision, 401(k), and wellness programs

Skills & Requirements

Must-have

  • PhD in Chemical or Mechanical Engineering
  • Experience with LIMS engineering
  • Integration of AI with lab automation
  • Production-level Python application development
  • Docker and Kubernetes orchestration

Nice-to-have

  • LLM post-training and fine-tuning experience
  • RLHF methodology knowledge
  • Publications in ML/NLP venues like NeurIPS
  • Open-source project contributions
  • Strategic vendor evaluation skills

Key Requirements

  • PhD required (or MS + 2 years / BS + 5 years)
  • Demonstrated wet-lab automation experience
  • Direct experience integrating software control with lab instruments
  • Strong production-level Python skills
  • Containerization expertise with Docker and Kubernetes

Work Rights

Not specified

Tailored Resume

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