2 Months Bioinformatics Internship
Master Bioinformatics, Genomics, and Computational Biology through 2 Months of Live Hands-On Training. Gain real-world research experience, code in Python & R, and build a strong portfolio with expert mentorship.
- 5.0/5
- English
- Starts 12 Oct 2026
- Updated Oct 2026
₹15000
$200
Indian learners pay in INR; international learners are billed in USD.
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About this internship
The 2-Month Bioinformatics Internship by Dr. Omics Edu is an intensive, live hands-on training program designed to bridge the gap between academic theory and real-world biological data science. Life science students and aspiring computational biologists will gain industry-relevant expertise in querying biological databases, Linux command-line operations, and scripting with Python and R for sequence analysis. The curriculum deeply explores Next-Generation Sequencing (NGS), variant analysis, and phylogenetic tree construction to solve complex biological questions. Guided by industry experts, participants work directly on real-world datasets and complete mini-projects that boost research profiles and career readiness. With personalized mentorship, practical workflows, and recognized certification, this internship provides the exact skills needed for modern genomics, biotechnology, and AI-driven life science careers.
What you will achieve
Skills you will gain
Certification
Available
Issued by Dr. Omics EduInternship curriculum
1 moduleWhat you need to start
- Basic understanding of fundamental biological concepts and DNA/RNA structures.
- No prior coding experience required; Python, R, and Linux are taught from scratch.
- A computer/laptop with a reliable internet connection for live online sessions.
Who this internship is for
- Undergraduate (1st, 2nd, and 3rd year) and postgraduate students in Biotechnology, Bioinformatics, Microbiology, and Life Sciences.
- Early-career researchers looking to gain practical computational tools for genomics and molecular biology.
- Biology students seeking hands-on coding skills in Python, R, and Linux for academic projects or industry roles.