🧬 THE NEXORA GROUP • CAREER INTERNSHIP

Genomics with AI
Internship

Build practical skills at the intersection of genomics, computational biology, bioinformatics, artificial intelligence and data-driven life sciences through a structured project-based internship.

Practical Genomics & Bioinformatics Projects
AI Applications in Genomics & Life Sciences
Python, Data Analysis & Computational Workflows
Online & Remote Internship
Internship Certificate & Applicable Documentation

Why Genomics with AI?

Genomics-Focused Learning Understand genomic data, sequencing concepts and computational analysis.
AI & Machine Learning Explore AI-assisted approaches for biological and genomic datasets.
Practical Projects Work through structured projects designed around real-world workflows.
Career Portfolio Create project evidence that can support your academic and career profile.
56 Internship Modules
AI Focused Learning
6 Duration Options
100% Online & Remote
INTERNSHIP APPLICATIONS

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Registration Form

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ABOUT THE INTERNSHIP

Learn Genomics + AI Through Practical Work

The Genomics with AI Internship by The Nexora Group is designed for students and early-career learners interested in genomics, computational biology, bioinformatics, biotechnology and artificial intelligence.

The internship combines foundational concepts with structured computational workflows, genomic data analysis, Python programming, machine learning and AI-assisted approaches to biological data.

Genomics & biological data fundamentals
Python for computational biology
Genomic data processing & visualization
Machine learning concepts for biological datasets
AI-assisted genomics workflows
Project documentation & portfolio development

What You Can Explore

  • Genome organization and sequencing concepts
  • DNA and RNA sequence analysis
  • Biological databases
  • Python and computational workflows
  • Genomic data preprocessing
  • Variant analysis concepts
  • Gene expression analysis
  • Machine learning fundamentals
  • AI-assisted biological data interpretation
  • Genomics project development
INTERNSHIP INTRODUCTION

See What You'll Experience

Watch the internship introduction to understand the learning journey, projects, curriculum and practical experience.

WHY JOIN

More Than Just an Internship

Build knowledge, practical project experience and career-ready evidence around one of the rapidly developing areas of computational life sciences.

🧬

Genomics Fundamentals

Understand core genomics concepts, sequencing, genomic datasets and computational approaches.

🤖

AI for Life Sciences

Explore machine learning and AI-assisted workflows for biological and genomic data.

🐍

Python Skills

Work with Python-based approaches for biological data processing and analysis.

📊

Data Analysis

Learn practical approaches for preparing, analyzing and visualizing biological datasets.

💻

Project Experience

Complete structured projects that can be documented as part of your portfolio.

📜

Internship Documentation

Eligible interns may receive applicable internship completion documentation based on program requirements.

COMPLETE INTERNSHIP CURRICULUM

56 Modules of Genomics with AI

A structured curriculum progressing from genomics fundamentals and Python to AI-assisted analysis, projects and portfolio development.

01

Introduction to Genomics

Genomics concepts, applications and career pathways.

02

Genomic Data Ecosystem

Understanding modern genomic data resources.

03

DNA Structure & Organization

DNA structure, chromosomes and genome organization.

04

RNA & Gene Expression

RNA biology and gene expression fundamentals.

05

Sequencing Technologies

Introduction to sequencing technologies and workflows.

06

NGS Fundamentals

Next-generation sequencing concepts.

07

Genomic File Formats

FASTA, FASTQ, SAM, BAM, VCF and related formats.

08

Biological Databases

Exploring major biological data resources.

09

NCBI & Sequence Resources

Searching and retrieving biological information.

10

Genomic Data Retrieval

Collecting datasets for computational analysis.

11

Python Fundamentals

Python syntax, variables and programming concepts.

12

Python Data Structures

Lists, dictionaries, tuples, sets and data handling.

13

Python for Genomics

Applying Python to biological sequence data.

14

Biopython Fundamentals

Working with biological sequences programmatically.

15

Sequence Manipulation

Practical DNA and RNA sequence operations.

16

Sequence Quality Concepts

Understanding sequence quality and preprocessing.

17

Sequence Alignment

Fundamentals of sequence alignment.

18

BLAST Concepts

Sequence similarity searching and interpretation.

19

Genomic Data Cleaning

Preparing biological datasets for analysis.

20

Data Preprocessing

Transforming genomic data into analysis-ready datasets.

21

Genomic Data Visualization

Creating meaningful biological data visualizations.

22

Statistical Concepts

Statistics for biological and genomic datasets.

23

Gene Expression Data

Introduction to expression datasets and analysis.

24
24

Expression Analysis Workflow

Structured gene-expression analysis concepts.

25

Variant Analysis Concepts

Understanding genomic variants and their interpretation.

26

Variant Data Formats

Working with variant-oriented datasets.

27

Genome Annotation

Introduction to annotation and biological interpretation.

28

Functional Genomics

Connecting genomic information with biological function.

29

Introduction to AI

Artificial intelligence concepts and applications.

30

Machine Learning Fundamentals

Core concepts of supervised and unsupervised learning.

31

AI for Biological Data

Applying AI concepts to life-science datasets.

32

Feature Engineering

Preparing useful computational features from biological data.

33

Classification Models

Understanding classification approaches for biological data.

34

Regression Concepts

Regression approaches and biological applications.

35

Clustering Biological Data

Unsupervised learning and biological grouping.

36

Model Evaluation

Evaluating machine learning model performance.

37

AI-Assisted Genomic Analysis

Using AI tools to support genomic workflows.

38

Generative AI for Biology

Exploring generative AI applications in life sciences.

39

Prompt Engineering for Genomics

Designing effective prompts for biological workflows.

40

AI Research Assistance

Using AI-assisted research and information workflows.

41

AI-Assisted Data Interpretation

Supporting interpretation of computational results.

42

AI Workflow Automation

Designing repeatable AI-assisted workflows.

43

Genomics Project Planning

Planning a structured computational genomics project.

44

Dataset Selection

Finding suitable datasets for practical projects.

45

Project Data Preparation

Preparing datasets for implementation.

46

Project Implementation

Building a complete computational workflow.

47

Workflow Documentation

Creating organized and repeatable workflows.

48

Genomics Capstone Planning

Planning a practical computational genomics project.

49

Project 1 — DNA Sequence Analysis

Implement a structured DNA sequence analysis project.

50

Project 2 — Genomic Dataset Analysis

Analyze a biological dataset using computational methods.

51

Project 3 — Gene Expression Analysis

Perform a practical gene-expression analysis workflow.

52

Project 4 — Variant Analysis

Explore a structured genomic variant analysis workflow.

53

Project 5 — AI Genomics Workflow

Build an AI-assisted computational genomics workflow.

54

Project Documentation

Document methodology, results and implementation.

55

Portfolio Development

Prepare project evidence for your career portfolio.

56

Final Capstone Internship Project

Complete and present your final Genomics with AI project.

PRACTICAL PROJECT EXPERIENCE

Build Projects You Can Explain

The internship emphasizes practical implementation and documentation rather than only theoretical learning.

🧬 DNA Sequence Analysis

Analyze DNA sequences using computational methods and develop a structured sequence-processing workflow.

📊 Genomic Dataset Analysis

Explore a biological dataset, perform preprocessing and generate meaningful analysis outputs.

🧪 Gene Expression Analysis

Work with gene-expression data and explore computational approaches for interpreting biological patterns.

🔬 Variant Analysis

Explore genomic variant data and understand computational approaches used for variant interpretation.

🤖 AI-Assisted Genomics

Develop a structured workflow combining genomic data analysis with AI-assisted research and interpretation.

🚀 Final Capstone Project

Combine your learning into a complete documented Genomics with AI project for your portfolio.

INTERNSHIP COMPLETION

Get Industry-Recognized Certification

Successfully complete the applicable internship requirements and assigned activities to become eligible for applicable internship completion documentation.

Genomics with AI Internship Certificate
STUDENT EXPERIENCE

What Students Say

Replace the sample cards below with verified reviews from your actual Genomics, Bioinformatics and Biotechnology interns.

★★★★★

“The internship helped me understand how genomics and computational analysis connect. The project-based structure made the concepts much easier to understand.”

Sample Student Review India — Genomics / Biotechnology Student
★★★★★

“I enjoyed working with biological datasets and learning Python-based analysis. The AI-focused modules gave me a different perspective on computational biology.”

Sample Student Review USA — Life Sciences Student
★★★★★

“The structured modules and final project helped me organize my learning into something I could discuss in my academic and career profile.”

Sample Student Review India — Bioinformatics Student
★★★★★

“The combination of genomics, programming and AI made the internship interesting and relevant to my interests in computational biology.”

Sample Student Review USA — Computational Biology Student
★★★★★

“The projects provided a useful framework for understanding how genomic data can be approached computationally.”

Sample Student Review India — Biotechnology Student
★★★★★

“A useful introduction to AI-assisted workflows in genomics and life sciences. I particularly liked the project documentation component.”

Sample Student Review USA — Biology Student
CAREER PREPARATION

Build Skills for Modern Life-Science Careers

Develop a portfolio around computational biology, genomics, data analysis, bioinformatics and AI-assisted life-science workflows.

Career Areas You Can Explore

Genomics • Bioinformatics • Computational Biology • Biotechnology • Life-Science Data Analysis • AI for Healthcare & Life Sciences

Genomics
Bioinformatics
Biotechnology
Computational Biology
Life Sciences
Healthcare AI
Research
Data Science
Biological Data
AI Research
INTERNSHIP COMPLETION

Complete Your Internship With Career Documentation

Eligible interns who successfully complete the applicable internship requirements and assigned work may receive applicable documentation from The Nexora Group.

📜

Internship Certificate

Applicable completion certificate upon meeting program requirements.

🏆

Project Documentation

Document your completed practical work and project outcomes.

📁

Portfolio Projects

Use eligible project work as evidence of practical learning.

💼

Career Preparation

Build knowledge and project experience relevant to modern roles.

🧠

Practical Learning

Apply concepts through structured computational activities.

🤖

AI Exposure

Explore AI-assisted approaches within genomics and life sciences.

FAQ

Frequently Asked Questions

Who can join the Genomics with AI Internship?
The internship can be suitable for students and early-career learners interested in genomics, biotechnology, bioinformatics, computational biology, biology, data science and AI applications in life sciences.
Do I need previous programming experience?
Basic programming knowledge can be helpful, but the curriculum includes foundational Python and computational concepts.
Is the internship online?
Yes. The program is designed for online and remote participation.
How many modules are included?
The curriculum contains 56 structured modules covering genomics, bioinformatics, Python, data analysis, machine learning, AI-assisted workflows and practical projects.
Will I work on projects?
Yes. The curriculum includes multiple practical project modules followed by a final capstone internship project.
What documentation can I receive after completion?
Eligible interns who successfully complete the applicable requirements may receive applicable internship completion documentation from The Nexora Group.
Can I use the project work in my portfolio?
Eligible project work can be documented and used as portfolio evidence, subject to the applicable program guidelines.
What is the duration?
Internship duration options are available for 1, 2, 3, 4, 5 or 6 months. Choose the applicable duration during registration.
FINAL STEP

Ready to Start Your Genomics + AI Journey?

Applications are currently open. Complete the registration form and begin your structured internship journey with The Nexora Group.

Enroll for Genomics with AI Internship →
INTERNSHIP REGISTRATION

Secure Your Internship Registration

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⏰ APPLICATION DEADLINE

Apply Before Today's Deadline

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Registration Form

Complete the form below to apply for the Genomics with AI Internship.

This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.
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Meet our Ex-Interns

Ayush Parasha- Student at Arya College of Engineering and IT

Pranav Joshi- Full Stack Developer

RITU SINGH-FullStack Developer

Jahruddeen Ansari-DevOps Engineer | AWS Practitioner Certification – Associate

Syed Kashif- New Delhi

Jonal Suthar – TCS | Systems Engineer

PRATIBHA KUMARI-RAMS Engineer @ Alstom

Ramavath Harish-NIT MEGHALAYA

Rahul Bansal – Product Manager at HP India

krishnavamshi Thadooru-Mern Full Stack Developer

Shubhanshu roy-MVJ College of Engineering, Bangalore, India

Deepthi Muthineni-Project Engineer at Wipro

Ayushi mallawat – Full Stack Web developer Intern at Solar Secure Solutions (Part of CWS)

Mayank Parmar-Intern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)

Ritesh Shukla- Full stack developer Intern at Soalr secure solutions(Part of CWS)

Mohit Kapil- IIT Roorkee’23 | Frontend Developer 

Mritunjay Mishra-Software Developer | Java | Python

Rachin-Associate QA Engineer at Empyra software solutions

Shivesh Singh – Software Engineering Student | AI/ML Enthusiast

Junaid Aftab – Full Stack Developer | Recruiter

Ayush Kumar – Computer Science Student | Learner | Generative AI

Sheebamol TG-Web developer/WordPress Developer

Uday Dalvi-Java/ web dev/ SQL developer

Saipranav Sapare-Front-End intern at Solar Secure Solutions (A part of CWS)

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FAQs

To begin, complete the registration form above by entering your name, email ID, and mobile number. Mention if you’re a student or a professional, along with your college or workplace details. You can also pick a convenient start date, and we’ll try our best to match it.

📩 Offer Letter: After we verify your registration, your offer letter will be issued and sent to your email within a few hours or the next morning.
📩 Welcome Package: On your chosen start date, you’ll receive login credentials and step-by-step guidance via email.
In case you have any queries, you can reach out through hr@corporatewebsolutions.in or WhatsApp/call +91-7618025090.

Definitely! Our support team assists with college-required documents such as attendance sheets, evaluation reports, progress updates, and project summaries throughout your program.

If you need to take a leave for any reason, simply email us or drop a WhatsApp message. You don’t have to wait for a response — just inform us and focus on your priority. Once you’re ready, you can easily resume your tasks.

Yes, a laptop or desktop with a good internet connection is mandatory for participating in this program.

Our programs feature pre-recorded video sessions and LIVE sessions both (Hybrid )  to offer maximum flexibility. Everyone — students, professionals, and mentors — can learn at their own pace without schedule conflicts.

Don’t worry there is an AI-powered assistant to help you with all your coding-related queries. Andie can check and debug code, generate new code, and even build entire projects for you.

This feature is exclusively available to registered candidates through their Task Portal.

Since mentors cannot be available 24/7, Andie was developed to bridge the gap. Located at the bottom-left corner of every module, this Full Stack Developer Bot is capable of writing, reviewing, and troubleshooting code anytime, ensuring you get instant solutions to your coding challenges, day or night.

This internship cum training opportunity is designed in such a way as from fresher to a professional anyone can get benefit out of it, The opportunity is divided into 15+ modules, and every Module contains 15-20 small tasks plus 1 project (in the last) based upon what you have learnt in that particular module. The complexity and practicality of your modules and projects will gradually increase, Timing is flexible, schedule yours accordingly.  After completing every project given in the modules, Submit within the deadlines.

A major part of this program contains a training part, however we have many projects (2 Major, 15 Minor and many practice projects) and many internal and external resources to sharpen the skills of the candidates. It is a self paced program, Training and internships will go simultaneously. After every Module, there will be a project related to it (may it be a minor, major or practice project)

We have 20+ projects to provide hands on Experience and sharpen the skills of the Interns. 

About Paid Projects_

Paid projects will be provided to the interns on two basis

1) The assignments/projects, which all students sends goes directly to our USA team. they evaluate all of them and create a kind of ranking sheet based upon some factors like quality, accuracy, deadline met etc. They keep this list with them for future paid projects.

2) The availability and number of the projects available.

The training is split into 15+ modules, each with 15–20 tasks and one project. As you progress, the complexity grows to ensure steady skill development. Projects must be submitted on time, and you can plan your schedule flexibly.

You’ll work on over 20 projects to build real-world experience.
👉 Paid Project Opportunity: Based on your performance (quality, speed, and accuracy), you may be eligible for paid tasks offered by our USA team, subject to availability.

Anyone interested can join! Basic knowledge of HTML, CSS, or JavaScript is a bonus but not compulsory. Graduates from any stream are welcome. There are no restrictions based on nationality, age, or background.

You decide your working hours! Whether you’re a student or a working professional, you can complete modules at your convenience. Plus, the internship is 100% remote — work from wherever you are most comfortable.

Once enrolled, you’ll have lifetime access to all training content, unless there’s a policy change in the future.

Absolutely! You’ll receive full training material, video tutorials, and 24/7 coding assistance before and during your project work.

Yes, but it depends! Stipends are offered based on your performance, the nature of the project, and USA team evaluations. Stipends typically range from ₹8,000 to ₹18,000 INR ($99 – $219) or higher, depending on project availability.

We actively hire top-performing interns for internal and client roles based on project availability. Additionally, we regularly post openings from our partners so you can apply even after completing the program.

Your certificate will be automatically prepared and scheduled to be emailed around your program completion date. Allow up to 48 extra hours if it falls on a weekend or holiday.

LORs are awarded to exceptional candidates based on strict performance criteria. If you require a LOR for special circumstances like studying abroad, you may also directly request it from HR.

Of course! Although not mandatory, if you find the program valuable, feel free to refer it to friends, classmates, or colleagues who might benefit.

Duration: Choose Your Internship Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)
Stipend Given – Check Internship Overview
⏳ Time Left to Apply Today:
REGISTRATION FORM
Fill up the Below form to get registered in the program
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Genomics Internship Program

🚀 Why Join The Nexora Group?

At The Nexora Group, we focus on future technologies in biotechnology, AI, healthcare, and computational sciences. Our mission is to help students gain practical industry exposure and prepare for high-growth careers in emerging scientific domains.

This internship is ideal for students looking to strengthen their academic profile, research experience, and career opportunities in genomics and biotechnology.