Lilly Off Campus Internship 2026 for Freshers Hiring Genomics –AI Engineer Intern | Apply Now

Lilly Off Campus Internship Opportunities for Freshers 2026 – Lilly offers internships tailored for freshers, providing a valuable experience in the field of Genomics –AI Engineer Intern. Ideal for graduates in any discipline such as Bachelor’s or Master’s degree, these internships are based in Bangalore. For more information about Lilly Genomics –AI Engineer Intern Openings 2026, Check the below sections.

Lilly Off Campus Internship 2026 for Genomics –AI Engineer Intern

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Responsibilities 

• Competency 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.
• The ideal candidate combines strong AI engineering skills with a working knowledge of genomics, functional assays, and therapeutics to enable high-impact drug discovery and development.
• Key Objectives/Deliverables Design, build, and maintain production-grade Machine Learning pipelines for training, evaluating, and serving AI models on genomic, transcriptomic, and epigenomic data to support drug discovery and target identification Understand and work with AAV vector biology data in the context of gene therapy design and regulatory element characterization.
• Engineer scalable data ingestion and feature engineering pipelines to prepare heterogeneous multi-omics datasets (e.g., GWAS, RNA-seq, eQTL/pQTL, PheWAS) and clinical data for model training and inference.
• Integrate external summary-level data sources including: GWAS, PWAS, and TWAS summary statistics Phenome-wide association study (PheWAS) datasets Molecular QTL data (eQTL, pQTL, cis-QTLs, and related modalities) Build and integrate AI/ML solutions leveraging:
• AI frameworks over genomics knowledge bases and literature Deep learning models for sequence analysis, variant effect prediction, gene expression modeling, and biomedical NLP Partner with computational biologists, biostatisticians, and translational scientists to translate research questions into robust data solutions.

Qualification & Skills Required 

• Minimum Position Qualifications Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Computer Science, Data Engineering, or a related quantitative field. Ph.D. preferred.
• Solid understanding of genomics fundamentals: DNA/RNA sequences, genetic variants, regulatory elements, and gene expression.
• Experience working with GWAS, molecular QTL (eQTL/pQTL), PheWAS, TWAS, or PWAS datasets. Exposure to therapeutic modality data: siRNA, ASO, mRNA therapeutics, or CRISPR-based approaches Solid understanding of AI/ML fundamentals:
• supervised and unsupervised learning, deep learning architectures (transformers, GNNs, Diffusion), and model optimization techniques(LoRA, RLHF).
• Strong proficiency in Python for data processing; familiarity with SQL and cloud-based data platforms (AWS, Databricks, or Azure).

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How to Apply Lilly Intern Openings in Bangalore 2026 ?

• Interested and eligible aspirants may Lilly Off Campus Internship 2026 Apply Online registration link are given below

Credit : Content Source From Lilly Official Website

Click Here Below Lilly Genomics –AI Engineer Intern Hiring 2026 Link

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