Small Molecule Ai Engineer Intern-advanced Intelligence And Research
Lilly
Indianapolis, Indiana, USA
Design and deploy ml pipelines
Ai-powered data integration layers
Deep learning models on molecular representations
Design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery
Job Summary
Design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery.
Work alongside medicinal chemists, computational chemists, and DMPK scientists to develop and productionize deep learning, generative AI, and LLM-powered solutions.
Apply AI to connect experimental data, predictive models, and public chemical databases into intelligent workflows that enable faster, smarter molecule design.
Matching Summary
Design, build, and deploy AI/ML models and intelligent systems that accelerate small molecule drug discovery.
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 practices
Python, PyTorch, TensorFlow, RDKit
Nice-to-have
experience with Hugging Face
molecular generative models
collaboration with medicinal chemists
computational chemistry ecosystem
Key Requirements
Bachelor’s or Master’s degree in a quantitative field
Understanding of small molecule drug discovery workflows
Working understanding of chemical representations
Proficiency in Python and ML frameworks
Experience with Git/GitHub workflows and CI/CD fundamentals