About this internship
The 4-Month Advanced Genomics Internship is a comprehensive, industry-focused training program designed for students and professionals in Life Sciences, Biotechnology, Microbiology, Genetics, and related disciplines. This internship combines theoretical knowledge with practical laboratory techniques and computational genomics to prepare learners for research and industry careers. Participants gain hands-on experience in DNA and RNA analysis, Next-Generation Sequencing (NGS), genome annotation, variant analysis, gene expression studies, and bioinformatics workflows. The curriculum also introduces AI-assisted genomic data analysis, computational biology tools, and modern research methodologies used in precision medicine and biotechnology. Real-world case studies, project-based learning, and expert mentorship help learners develop analytical and problem-solving skills. By the end of the program, participants will be confident in interpreting genomic datasets and applying advanced molecular biology techniques in research laboratories, healthcare, pharmaceutical, and biotechnology industries. Successful candidates receive an industry-recognized internship certificate to strengthen their academic profile and career opportunities.
What you will achieve
Fundamentals of Genomics and Genome Organization
DNA Extraction and Quality Assessment
RNA Isolation and Transcriptome Analysis
Next-Generation Sequencing (NGS) Workflow
Genome Sequencing Technologies
Sequence Alignment and Mapping
Genome Assembly and Annotation
Variant Calling and SNP Identification
Gene Expression and Differential Expression Analysis
Functional Genomics and Pathway Analysis
Introduction to Transcriptomics and Epigenomics
Bioinformatics Databases and Genomic Resources
BLAST, FASTA, FASTQ, and Sequence Analysis
AI Applications in Genomics and Precision Medicine
Machine Learning for Biological Data Analysis
Python and R for Bioinformatics
Linux Commands for Genomic Analysis
Data Visualization and Scientific Reporting
Research Methodology and Scientific Documentation
Capstone Genomics Research Project
Skills you will gain
Genomics
Bioinformatics
NGS
Sequencing
Variant Analysis
Genome Annotation
Transcriptomics
Proteomics
Phylogenetics
BLAST
Linux
Python
R Programming
DataAnalysis
AI
Machine Learning
Genome Assembly
SNP Analysis
Gene Expression
PCR
Molecular Biology
CRISPR
Research
Statistics
Visualization
Certification
Available
Issued by Dr. Omics
Internship curriculum
8 modules
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M1T1 = Introduction to Bioinformatics
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M1T2 = NCBI Database Overview
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M1T3 = Genbank Database Practical Exercises
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M1T4 = UCSC Genome Browser Overview
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M1T5 = UCSC Genome Browser Hands-on Exercises
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M1T6 = Pubmed Database Introduction
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M1T7 = Clinvar Database Overview
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M1T8 = KEGG Database Overview and Exercises
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M1T9 = Protein Databases (UniProt)
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M1T10 = Protein Databases (PDB)
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M1T11 = Online BLAST Introduction and Exercises
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M1T12 = Standalone BLAST Setup and Exercises
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M1T13 = Standalone BLAST Advanced Exercises
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M1T14 = Multiple Sequence Alignment with ClustalW
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M1T15 = Multiple Sequence Alignment with MEGA
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M2T1 = Overview and Installation of Linux
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M2T2 = Basic Linux Commands
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M2T3 = Advanced Linux Commands
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M2T4 = Package Management using Repository
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M2T5 = Package Management using Source Code
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M3T1 = Introduction to Python
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M3T2= Data Types
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M3T3= String Handling
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M3T4= Data Structure
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M3T5=Control Structure
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M3T6 = Function
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M3T7= File Handling
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M3T8= Data Manipulation
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M3T9= Data Visualization
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M3T10= Biopython
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M4T1 = Introduction and Installation of R
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M4T2= Data Types in R
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M4T3= Data Structure
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M4T4= File Handling
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M4T5=Control Structure
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M4T6 = Function
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M4T7= Package Management
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M4T8= Data Manipulation
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M4T9= Data Visualization
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M4T10= Statistical Analysis
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M6T1= Introduction to NGS and DNAseq
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M6T2= Basic Terminologies in NGS
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M6T3= Understanding of SRA database
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M6T4= Tools installation in Linux for Variation Calling
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M6T5= Quality control
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M6T6= Trimming of Reads
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M6T7= Indexing of Genome and Alignment of Reads
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M6T8= Variation calling using GATK
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M6T9= Variant Effect Prediction(VEP)
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M6T10= Variation Visualization (IGV)
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M7T1=Introduction to RNAseq and it’s basic terminologies
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M7T2=Tools installation in Linux for Gene Expression analysis
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M7T3=Quality control and Trimming of reads
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M7T4=Indexing of Genome and Alignment of Reads
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M7T5=Normalization of Data (Cufflinks)
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M7T6=Merging of Data and Differential expression of genes
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M7T7=Understanding of DEG results
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M7T8=Annotation of DEG
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M7T9=Functional and Pathway Enrichment Analysis
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M7T10=Network Analysis
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NGS- DNA Seq or RNA Seq Data Analysis
What you need to start
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Basic understanding of Biology
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Fundamental knowledge of Genetics
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Interest in Molecular Biology
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Basic computer skills
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No prior programming experience required
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Passion for genomics research and bioinformatics
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Suitable for beginners as well as intermediate learners
Who this internship is for
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"B.Sc. Life Science students
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M.Sc. Biotechnology students
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Microbiology students
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Genetics students
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Biochemistry students
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Molecular Biology students
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Biotechnology graduates
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Research scholars
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PhD aspirants
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Laboratory professionals
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Healthcare researchers
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Bioinformatics beginners
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Students preparing for research careers
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Professionals seeking genomics upskilling
