About the role
Genomics with AI Internship
Build practical skills at the intersection of genomics, computational biology, bioinformatics, artificial intelligence and data-driven life sciences through a structured project-based internship.
✓ Practical Genomics & Bioinformatics Projects ✓ AI Applications in Genomics & Life Sciences ✓ Python, Data Analysis & Computational Workflows ✓ Online & Remote Internship ✓ Internship Certificate & Applicable Documentation
Why Genomics with AI?
✓ Genomics-Focused Learning Understand genomic data, sequencing concepts and computational analysis.
✓ AI & Machine Learning Explore AI-assisted approaches for biological and genomic datasets.
✓ Practical Projects Work through structured projects designed around real-world workflows.
✓ Career Portfolio Create project evidence that can support your academic and career profile.
ABOUT THE INTERNSHIP
Learn Genomics + AI Through Practical Work
The Genomics with AI Internship by The Nexora Group is designed for students and early-career learners interested in genomics, computational biology, bioinformatics, biotechnology and artificial intelligence.
The internship combines foundational concepts with structured computational workflows, genomic data analysis, Python programming, machine learning and AI-assisted approaches to biological data.
✓ Genomics & biological data fundamentals ✓ Python for computational biology ✓ Genomic data processing & visualization ✓ Machine learning concepts for biological datasets ✓ AI-assisted genomics workflows ✓ Project documentation & portfolio development
What You Can Explore
- Genome organization and sequencing concepts
- DNA and RNA sequence analysis
- Biological databases
- Python and computational workflows
- Genomic data preprocessing
- Variant analysis concepts
- Gene expression analysis
- Machine learning fundamentals
- AI-assisted biological data interpretation
- Genomics project development
WHY JOIN
More Than Just an Internship
Build knowledge, practical project experience and career-ready evidence around one of the rapidly developing areas of computational life sciences.
🧬 Genomics Fundamentals Understand core genomics concepts, sequencing, genomic datasets and computational approaches.
🤖 AI for Life Sciences Explore machine learning and AI-assisted workflows for biological and genomic data.
🐍 Python Skills Work with Python-based approaches for biological data processing and analysis.
📊 Data Analysis Learn practical approaches for preparing, analyzing and visualizing biological datasets.
💻 Project Experience Complete structured projects that can be documented as part of your portfolio.
📜 Internship Documentation Eligible interns may receive applicable internship completion documentation based on program requirements.