Genomics –ai Engineer Intern

Lilly

Machine learning pipelines
Genomic, transcriptomic, epigenomic data
Multi-omics datasets
We are seeking a Genomics AI Engineer to design, build, and deploy machine learning models and AI-powered solutions that accelerate genomics-driven drug discovery and development

Job Summary

  • We are seeking a Genomics AI Engineer to design, build, and deploy machine learning models and AI-powered solutions that accelerate genomics-driven drug discovery and development.
  • This role sits at the intersection of computational biology, AI engineering, and translational science, supporting the integration of diverse multi-omics datasets with clinical and therapeutic data.
  • Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.

Matching Summary

We are seeking a Genomics AI Engineer to design, build, and deploy machine learning models and AI-powered solutions that accelerate genomics-driven drug discovery and development.

Skills & Requirements

Must-have

  • Machine Learning pipelines
  • genomic, transcriptomic, epigenomic data
  • multi-omics datasets
  • Python for data processing
  • AI/ML fundamentals

Nice-to-have

  • AI frameworks over genomics knowledge
  • biomedical NLP
  • gene therapy design
  • translational science

Key Requirements

  • Bachelor's or Master's degree
  • Ph.D. preferred
  • Solid understanding of genomics fundamentals
  • Experience with GWAS, molecular QTL datasets
  • Exposure to therapeutic modality data
  • Strong proficiency in Python
  • Familiarity with SQL and cloud platforms

Work Rights

Not specified

Tailored Resume

Cover Letter