Genomics Ai Engineer Intern-advanced Intelligence And Research
Lilly
Indianapolis, Indiana, US
Design and deploy ml pipelines
Ai-powered data integration layers
Deep learning models on molecular representations
We are seeking an AI Engineer Intern to design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery — from hit identification and lead optimization through to candidate selection
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 — from hit identification and lead optimization through to candidate selection.
You will work alongside medicinal chemists, computational chemists, and DMPK scientists to develop and productionize deep learning, generative AI, and LLM-powered solutions that extract insights from compound activity, structure, and ADMET data.
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 — from hit identification and lead optimization through to candidate selection.
Skills & Requirements
Must-have
design and deploy ML pipelines
AI-powered data integration layers
deep learning models on molecular representations
generative AI and LLM-based applications
model evaluation frameworks and MLOps
Python, PyTorch, TensorFlow
RDKit, NumPy, pandas, scikit-learn
Nice-to-have
experience with Hugging Face
molecular generative models experience
Git/GitHub workflows
CI/CD fundamentals
MLOps tooling exposure
cloud-based AI platforms
Key Requirements
Bachelor’s or Master’s degree
Ph.D. preferred
understanding of small molecule drug discovery workflows