Bioinformatics Internship For 1 Month
Master core computational biology and AI applications in life sciences through live hands-on training. Build your career foundation with real-world databases, sequence analysis, NGS concepts, and a guided mini-project.
- 5.0/5
- English
- Starts 12 Oct 2026
- Updated Oct 2026
₹7000
$120
Indian learners pay in INR; international learners are billed in USD.
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About this internship
Embark on an intensive 1-month online bioinformatics internship designed to bridge computational biology and artificial intelligence in life sciences. This program provides a complete entry point for students, researchers, and professionals seeking hands-on skills in biological data analysis. Participants learn how to extract biological insights using essential bioinformatics tools, analyze genomic and proteomic sequences, and explore Next-Generation Sequencing (NGS) workflows. The curriculum integrates practical programming in Python and R tailored specifically for life science applications. Guided by expert industry mentors, learners discover how AI and machine learning models enhance sequence alignment, protein structure prediction, and biological data interpretation. Through interactive live sessions and a capstone mini-project, candidates apply theoretical concepts to real-world datasets. This future-focused internship prepares participants for careers in biotechnology, pharmaceutical research, genomic data science, and AI-driven precision medicine.
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 genetics.
- No prior programming experience required; basic computer literacy is sufficient.
Who this internship is for
- Undergraduate and postgraduate students in Biotechnology, Bioinformatics, Biochemistry, and Life Sciences.
- Researchers and academics looking to integrate computational bio-tools and AI methods into their research.
- Healthcare and pharma professionals seeking practical knowledge in genomic data analytics.