
Next-Gen Sequencing & Multi-Omics Data Analysis Hands-On Internship with Project Work
NGS is not just a skill—it's the foundation of tomorrow’s breakthroughs in life sciences!
NGS HANDS-ON TRAINING + SHORT-TERM PROJECT WORK
100% PLACEMENT ASSISTANCE
This internship could be your launchpad into precision medicine, cancer research, and bioinformatics innovation.
Program Overview
This internship offers in-depth, hands-on training in Next-Generation Sequencing (NGS) and multi-omics data analysis, including transcriptomics, variant calling, epigenomics, metagenomics, and more. Participants will engage in daily expert-led sessions and gain practical experience through real-world datasets and tools used in academic and industry research.
Internship Details
- Start Date: 5th May 2025
- Timings: 7:00 - 8:00 PM IST (Live Interactive Sessions)
- Mode: Online Training + Guided Hands-On Project Work
- Duration: 30 Days Live Training + 2 Months Project Work
- Certification: Internship Certificate + Project Experience Letter
Eligibility
This program is suitable for:
- Undergraduate and postgraduate students from Life Sciences, Biotechnology, Bioinformatics, Microbiology, Genetics, and allied fields
- Research scholars, PhD students, and academic faculty
- Industry professionals and job seekers in genomics and bioinformatics
- Anyone looking to gain hands-on experience in NGS data analysis with real-world projects
No prior coding experience is mandatory, but basic familiarity with biology is recommended.
Why Join This Internship?
- Real-World Skill Development: Learn to analyze DNA/RNA sequencing data using industry-relevant tools and workflows
- Hands-On Projects: Work on real datasets with deliverables to showcase in your resume or academic portfolio
- Expert Mentorship: Sessions led by experienced trainers and bioinformatics professionals
- Career Guidance: Learn how to position your NGS skills for research and high-paying biotech roles
- Flexible Learning: Access session recordings and complete your project work at your own pace
- Recognized Certification: Get certified with Internship + Project Work credentials to boost your academic or career profile
Information Brochure - Check Course Instructor & Project Details
Download Link
What You Will Learn – Modules Overview
Module I: NGS Basics & Setup
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Introduction to NGS, its evolution, and importance
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Overview of platforms (Illumina, Ion Torrent, PacBio)
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Sample preparation, library construction, and QC
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Intro to Linux and scripting for NGS
Module II: NGS Data Analysis Essentials
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File formats: FASTQ, BAM, VCF
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Quality control with FastQC, trimming with Cutadapt
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Sequence alignment using BWA/Bowtie2
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Variant calling, filtering, and annotation
Module III: RNA-Seq & Gene Expression
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RNA-Seq pipeline: from raw reads to DEGs
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Read alignment (STAR), feature counting, normalization
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DESeq2/edgeR workflows for DEG analysis
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Visualization and interpretation
Module IV: Applications of NGS
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Cancer and rare disease genomics
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Drug discovery, CRISPR analysis, microbiome studies
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Agricultural genomics, personalized medicine
Module V: Cloud & Advanced Analysis
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Cloud-based platforms (Galaxy, Google Colab)
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Single-cell RNA-seq, 16S metagenomics, epigenomics
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Real-time demos and data walkthroughs
Module VI: Future, Ethics & Career Pathways
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Trends: long-read, spatial transcriptomics, AI in genomics
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Ethics, regulations (HIPAA, GDPR, FDA)
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Career options and guidance in research and industry
Mini Projects (30 Days – Post Training)
Participants will choose from a list of 10 project tracks with defined objectives, datasets, tools, and deliverables. Projects include:
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Variant Calling Pipeline – Identify variants from raw FASTQ files
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RNA-Seq Differential Expression – Analyze gene expression differences
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ChIP-Seq Peak Calling – Detect transcription factor binding sites
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Single-Cell RNA-Seq Clustering – Perform dimensionality reduction and clustering
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Metagenomic Taxonomic Profiling – Analyze gut microbiome data
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Functional Annotation of Novel Genome – Annotate coding sequences
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miRNA Expression Analysis – Compare miRNA levels in disease vs. control
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Pathway Enrichment of DEGs – Identify enriched KEGG/GO pathways
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Protein-Ligand Docking Simulation – Predict small molecule interactions
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Comparative Bacterial Genomics – Identify strain-specific genes
All projects will be guided with necessary datasets, toolkits, and templates. Final project deliverables may be suitable for GitHub portfolios or academic submissions.
Key Benefits
- 30+ hours of live instruction with recordings
- 10 optional mini-project tracks with datasets and tools
- Certification for internship + guided project work
- Access to open-source and cloud platforms
- Doubt-clearing support and guidance
- Resume-building assets, including visual reports and project files
What You Will Get
When you enroll in the Next-Gen Sequencing & Multi-Omics Data Analysis Internship, you will receive:
1. 30 Days of Expert-Led Live Training
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Daily 1-hour interactive sessions (7:00 – 8:00 PM IST)
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Step-by-step demonstrations using real-world bioinformatics tools
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Live Q&A and mentor support during sessions
2. Access to Session Recordings
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All sessions are recorded and accessible throughout the internship
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Learn at your own pace and revisit important concepts
3. Hands-On Practice with Real Datasets
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Work with data from the 1000 Genomes Project, GEO, ENCODE, Human Microbiome Project, and others
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Practice on cancer genomics, transcriptomics, microbiome, CRISPR guide design, and more
4. 2 Months of Guided Mini-Project Work
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Choose from 10 industry-relevant NGS and multi-omics projects
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Dedicated mentor support during project execution
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Toolkits, datasets, and templates provided
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Deliverables include plots, reports, and data files for portfolio use
5. Certification and Experience Letters (included With project work)
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Internship Completion Certificate
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Project Completion Letter mentioning the specific domain and duration
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Valuable for academic and industry applications
6. Career Guidance and Resume Support (included with project work)
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Session on global career opportunities in genomics and NGS
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Guidance on resume and portfolio building
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Help in documenting project work for LinkedIn or GitHub profiles
Enroll Today and Be Part of the NGS Revolution.
Disclaimer: We do not guarantee paper publication & job placement under this program. We will guide you throughout the training course to ensure you are ready enough to get a job & publish papers in well-reputed journals.
1. Who is this internship for?
This program is ideal for undergraduate/postgraduate students, PhD scholars, faculty, and industry professionals in life sciences, biotechnology, bioinformatics, microbiology, or related fields who wish to gain practical experience in NGS and multi-omics data analysis.
No prior coding experience is required. Basic familiarity with biological concepts is sufficient. We cover Linux and Python/R basics as part of the training.
Yes. Every session includes live demonstrations, practice datasets, and tool walkthroughs. You will also work on a guided mini-project based on real NGS data.
You can choose from 10 mini-projects covering variant calling, RNA-seq, single-cell RNA-seq, metagenomics, miRNA analysis, genome annotation, docking simulation, and more.
No. We use open-source and cloud-based tools (Google Colab, Galaxy server, etc.). No software installation is required on your system.
Yes. You will receive an Internship Completion Certificate and a separate Project Completion Certificate & Experience letter after successfully submitting your project deliverables.
Yes. All sessions are recorded and accessible throughout the duration of the internship.
You will receive guidelines, toolkits, and mentor support. Your final deliverables (e.g., reports, plots, scripts) will be reviewed before issuing the project certificate.