Genomics Ai Engineer Intern-advanced Intelligence And Research

Workday Lilly

Indianapolis, Indiana, USA
Ai/ml models for drug discovery
Deep learning and generative ai
Llm-powered solutions
We are seeking an AI Engineer Intern to design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery

Job Summary

  • We are seeking an AI Engineer Intern to design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery.
  • You will work alongside medicinal chemists, computational chemists, and DMPK scientists to develop and productionize deep learning, generative AI, and LLM-powered solutions.
  • This role sits at the heart of our computational chemistry ecosystem, applying AI to connect experimental data, predictive models, and public chemical databases into intelligent workflows that enable faster, smarter molecule design.

Matching Summary

We are seeking an AI Engineer Intern to design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery.

Skills & Requirements

Must-have

  • AI/ML models for drug discovery
  • Deep learning and generative AI
  • LLM-powered solutions
  • Python, PyTorch, TensorFlow
  • RDKit, NumPy, pandas, scikit-learn
  • Molecular representations (SMILES, graphs)
  • ML pipelines for data ingestion

Nice-to-have

  • Experience with Hugging Face
  • Molecular generative models experience
  • Team collaboration and communication
  • Determination to make life better

Key Requirements

  • Bachelor's or Master's degree
  • Ph.D. preferred
  • Understanding of small molecule drug discovery workflows
  • Working understanding of chemical representations
  • Proficiency in Python
  • Experience with Git/GitHub workflows
  • Familiarity with cloud-based AI platforms

Work Rights

Not specified

Tailored Resume

Cover Letter