Genetic Engineering Internship Program 2026

thenexoragroup.com · Remote

  • Remote
  • Internship

About the role

Build practical knowledge across genetic engineering, molecular biology, bioinformatics and AI-driven biotechnology applications through a structured, project-oriented internship.

  • Live Internship & Structured Project Work
  • Genetic Engineering + AI Applications
  • Certificate & Performance-Based LOR Eligibility
  • Mentor Guidance & Practical Assignments
  • 100% Online & Remote
  • Flexible 1–6 Month Internship Options

Why Genetic Engineering + AI?

Modern Genetic Engineering

Explore DNA, RNA, cloning, PCR, sequencing and gene analysis.

AI in Biotechnology

Understand how AI and computational methods support biological research.

Research-Oriented Projects

Work through structured case studies, analysis and project assignments.

Career Portfolio

Build evidence of your biotechnology and computational skills.

About The Internship

Build the Skills Behind the Next Generation of Biotechnology

The Genetic Engineering with AI Internship by The Nexora Group is designed for students and aspiring researchers who want to understand modern genetic engineering while exploring the role of artificial intelligence, computational biology and bioinformatics.

The internship covers fundamental molecular biology concepts, genetic engineering workflows, DNA/RNA analysis, CRISPR concepts, cloning, PCR, sequencing, bioinformatics and AI applications.

What You Will Experience

Structured Learning

Progressive modules from fundamentals to project implementation.

AI Applications

Explore computational and AI approaches used in biotechnology.

Project Experience

Apply your knowledge through major, minor and practice projects.

Career Documentation

Build project evidence for your academic and career portfolio.

Internship Highlights

More Than Just a Certificate

Build practical knowledge, project evidence and career-ready skills in genetic engineering and AI-enabled biotechnology.

Genetic Engineering

Learn genetic engineering concepts, recombinant DNA, cloning and genome analysis.

AI in Biotechnology

Explore computational approaches and AI applications for biological research.

Research Projects

Complete structured projects involving genetic data, sequence analysis and research workflows.

Mentor Guidance

Receive guidance, project feedback and structured learning support.

Internship Certificate

Receive applicable internship completion documentation after meeting program requirements.

LOR Eligibility

Eligible candidates may receive a Letter of Recommendation based on performance.

Online & Remote

Participate remotely with flexible learning and project completion schedules.

Portfolio Projects

Build documented evidence of your work for your academic and professional portfolio.

Skills You Will Learn

Genetic Engineering + AI Skill Stack

Build interdisciplinary knowledge across molecular biology, genetic engineering, bioinformatics and AI.

Molecular Biology

  • DNA & RNA fundamentals
  • DNA isolation concepts
  • PCR techniques
  • Gel electrophoresis
  • Gene expression
  • Mutation concepts

Genetic Engineering

  • Recombinant DNA technology
  • Gene cloning
  • Plasmid concepts
  • Restriction digestion
  • Ligation concepts
  • Genome editing

AI for Biotechnology

  • AI fundamentals
  • Machine learning concepts
  • Biological data analysis
  • AI-assisted research workflows
  • Pattern recognition
  • Research automation concepts

Bioinformatics

  • NCBI & GenBank
  • BLAST analysis
  • FASTA sequences
  • Sequence alignment
  • Genome databases
  • Phylogenetic analysis

Computational Tools

  • Python fundamentals
  • Jupyter Notebook
  • Pandas
  • Data processing
  • Data visualization
  • Basic statistical analysis

Research Skills

  • Scientific literature analysis
  • Research documentation
  • Experimental planning concepts
  • Biological data interpretation
  • Scientific reporting
  • Project presentation

Complete Internship Curriculum

56 Modules From Fundamentals to Projects

A structured curriculum covering genetic engineering, molecular biology, bioinformatics, AI and project development.

Introduction to Genetic Engineering

Foundations and applications.

Genetic Engineering Career Pathways

Industry and research opportunities.

Cell Biology Fundamentals

Cells, organelles and biological systems.

DNA Structure & Function

DNA organization and replication.

RNA Biology

RNA types and biological roles.

Gene Expression

Transcription and translation.

DNA Isolation Concepts

Principles of DNA extraction.

PCR Fundamentals

Polymerase chain reaction concepts.

Gel Electrophoresis

DNA separation and interpretation.

DNA Sequencing Basics

Sequencing principles and workflows.

Recombinant DNA Technology

Core recombinant DNA concepts.

Restriction Enzymes

Recognition sites and applications.

DNA Ligation

Construct assembly concepts.

Plasmid Biology

Vectors and plasmid design.

Gene Cloning

Cloning workflow and strategy.

Transformation Concepts

Introduction to transformation workflows.

CRISPR Fundamentals

CRISPR-Cas systems overview.

CRISPR-Cas9

Genome editing principles.

Guide RNA Concepts

Targeting and design principles.

Genome Editing Applications

Research and bi

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