Genomics Ai Engineer Intern-advanced Intelligence And Research
Lilly
Indianapolis, Indiana, USA
Ai/ml models for drug discovery
Deep learning and generative ai
Llm-powered solutions
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
AI/ML models for drug discovery
Deep learning and generative AI
LLM-powered solutions
Molecular property prediction
Python, PyTorch, TensorFlow
RDKit, NumPy, pandas, scikit-learn
Git/GitHub workflows
Nice-to-have
Collaborate with medicinal chemists
Computational chemistry ecosystem
Intelligent workflows for molecule design
Data integration layers
Chemistry literature and patents
Key Requirements
Bachelor's or Master's degree
Understanding of small molecule drug discovery
Working understanding of chemical representations
Proficiency in Python
Experience with Hugging Face or molecular generative models is a plus