AI-Powered Full Stack Web Developer Internship
- Remote
- Internship
Listing details
- Last verified Nov 3
About the job
AI Applications in Genomics & Life Sciences
✓ 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.
Internship Applications
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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.
Complete Internship Curriculum
56 Modules of Genomics with AI
A structured curriculum progressing from genomics fundamentals and Python to AI-assisted analysis, projects and portfolio development.