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Genomics & AI Intern Jobs at Eli Lilly and Company India

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Eli Lilly and Company India

Bachelorโ€™s / Masterโ€™s in Bioinformatics, Computational Biology, AI / Computer Science, Cheminformatics / Computational Chemistry

Bengaluru

Freshers

Verified Job

Online Application
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Global pharmaceutical leader Eli Lilly and Company is hiring for Genomics AI Engineer Intern and Small Molecule AI Engineer Intern roles in Bengaluru, India. These high-impact internships sit at the intersection of AI, genomics, and drug discovery, offering candidates a chance to work on real-world pharmaceutical innovation.

If you have a background in bioinformatics, AI/ML, computational biology, or cheminformatics, this is a premium opportunity to enter the AI-driven drug discovery domain.


๐Ÿš€ Available Roles

1. Genomics โ€“ AI Engineer Intern

๐Ÿ“ Location: Bengaluru, India
๐Ÿ“… Apply by: April 10, 2026

2. Small Molecule โ€“ AI Engineer Intern

๐Ÿ“ Location: Bengaluru, India
๐Ÿ“… Apply by: April 8, 2026


๐Ÿ”ฌ Key Responsibilities

For Genomics AI Engineer Intern:

  • Build and deploy machine learning pipelines for genomics datasets
  • Work on multi-omics data integration (GWAS, RNA-seq, eQTL, PheWAS)
  • Develop deep learning models for sequence analysis & variant prediction
  • Collaborate with computational biologists & translational scientists
  • Engineer scalable pipelines for clinical + genomic data processing

For Small Molecule AI Engineer Intern:

  • Design ML models for drug discovery & molecular prediction
  • Work with chemical datasets (ChEMBL, PubChem, DrugBank)
  • Build generative AI models for molecule design & retrosynthesis
  • Apply SAR analysis, ADMET prediction, binding affinity modeling
  • Implement MLOps workflows (CI/CD, model tracking, deployment)

๐ŸŽ“ Eligibility Criteria

Education:

  • Bachelorโ€™s / Masterโ€™s in:
    • Bioinformatics
    • Computational Biology
    • AI / Computer Science
    • Cheminformatics / Computational Chemistry

Skills Required:

  • Strong Python programming
  • Knowledge of AI/ML (deep learning, transformers, GNNs)
  • Understanding of:
    • Genomics (DNA, RNA, gene expression) OR
    • Drug discovery workflows (SAR, ADMET, HTS)
  • Familiarity with:
    • Cloud platforms (AWS, Azure, Databricks)
    • Libraries: PyTorch, TensorFlow, RDKit
    • Data handling (SQL, pandas)

๐Ÿ’ผ Salary & Benefits (Estimated)

  • ๐Ÿ’ฐ Stipend: โ‚น40,000 โ€“ โ‚น90,000/month
  • ๐ŸŒ Work with global R&D teams
  • ๐Ÿง  Exposure to cutting-edge AI in pharma
  • ๐Ÿ“ˆ Strong career pathway in drug discovery AI roles
  • ๐Ÿค Networking with scientists & AI engineers

๐Ÿ“Œ Why This Opportunity Matters

These roles are ideal for candidates aiming to build careers in:

  • AI in Drug Discovery
  • Genomics & Precision Medicine
  • Computational Chemistry
  • Pharma Data Science

With pharma rapidly adopting AI, internships like these offer direct entry into high-demand, future-proof domains.


๐Ÿ“ฉ How to Apply

Application Link For Genomics โ€“ AI Engineer Intern

Application Link For Small Molecule โ€“ AI Engineer Intern

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