THE NEXORA GROUP • CAREER INTERNSHIP

Computational Biology with AI Internship

Build practical skills at the intersection of computational biology, bioinformatics, Python, data science, machine learning and Artificial Intelligence through a structured, project-focused internship.

Computational Biology & Bioinformatics
Python for Biological Data
AI & Machine Learning Applications
Practical Project Experience
Internship Certificate
Online & Remote Internship

Why Choose This Internship?

🧬 Biology + Computing Explore modern computational approaches to biological problems.
🤖 AI Applications Understand how AI and machine learning can support biological data analysis.
🐍 Python-Based Work Develop practical programming and data-analysis capabilities.
📊 Project Portfolio Build project evidence that can strengthen your academic and career profile.
📜 Internship Documentation Eligible interns can receive applicable internship completion documentation.
56 Internship Modules
AI Focused Learning
6 Duration Options
100% Online & Remote
Ready to Start Your Computational Biology Journey?

Complete the registration form below to apply for the Computational Biology with AI Internship.

⏰ Internship Applications

Applications Are Open — Apply Before Today's Deadline

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Registration Form
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INTERNSHIP INTRODUCTION

Learn Computational Biology Through AI & Data

The Computational Biology with AI Internship by The Nexora Group is designed for students and early-career learners interested in combining biology with programming, data analysis, computational methods and Artificial Intelligence.

The internship introduces practical workflows used for biological data, sequence analysis, molecular data, machine learning and AI-assisted research workflows.

Python and computational workflows
Biological sequence and dataset analysis
Machine learning for biological applications
AI-assisted computational research
Practical projects and portfolio development
Computational Biology with AI Internship
WHAT YOU WILL EXPERIENCE

Build Skills Across Biology, AI & Computing

The internship combines computational foundations with biological datasets, AI concepts and practical project implementation.

🧬

Computational Biology

Understand computational approaches used to investigate biological systems and datasets.

🐍

Python Programming

Use Python for biological data processing, analysis and computational workflows.

🤖

AI & Machine Learning

Explore machine learning concepts and their potential applications in biological research.

📊

Biological Data Analysis

Work with structured datasets and develop analytical workflows.

🔬

Bioinformatics

Learn practical computational methods for sequence and molecular data.

📁

Project Portfolio

Organize your project work and documentation into useful career evidence.

COMPLETE INTERNSHIP CURRICULUM

56 Modules to Build Practical Expertise

A structured journey from computational biology fundamentals to AI-assisted biological data projects and portfolio development.

01

Introduction to Computational Biology

Understanding the field and modern applications.

02

Computational Biology Ecosystem

Tools, workflows and career pathways.

03

Biology Fundamentals

Core biological concepts for computational work.

04

Cell & Molecular Biology

Cells, molecules and biological systems.

05

DNA, RNA & Proteins

Understanding biological information.

06

Biological Databases

Introduction to major biological data resources.

07

Python for Computational Biology

Python foundations for biological applications.

08

Python Data Structures

Lists, dictionaries, tuples and biological data handling.

09

Functions & Modular Programming

Creating reusable computational workflows.

10

NumPy for Biological Data

Numerical computing and arrays.

11

Pandas for Bio Data

Dataframes, filtering and biological datasets.

12

Data Cleaning

Preparing biological datasets for analysis.

13

Data Visualization

Charts and visual exploration of biological data.

14

Statistical Foundations

Basic statistics for biological datasets.

15

Probability for Biology

Probability concepts for computational analysis.

16

Sequence Analysis

Working with biological sequences.

17

DNA Sequence Processing

Practical sequence manipulation.

18

RNA Sequence Analysis

RNA data and computational analysis.

19

Protein Sequence Analysis

Protein sequence exploration.

20

Sequence Alignment Concepts

Understanding biological sequence comparison.

21

BLAST Concepts

Understanding sequence similarity searching.

22

Genomic Data

Introduction to computational genomics.

23

Genomics Workflows

Building structured genomic analysis workflows.

24

Transcriptomics

Understanding gene-expression data.

25

Gene Expression Analysis

Working with expression datasets.

26

Biological Network Concepts

Networks and biological relationships.

27

Protein Structure Concepts

Computational view of protein structures.

28

Molecular Data

Understanding molecular datasets.

29

Introduction to Artificial Intelligence

AI concepts and biological applications.

30

Machine Learning Fundamentals

Core machine learning concepts.

31

Supervised Learning

Classification and regression workflows.

32

Unsupervised Learning

Clustering and pattern discovery.

33

Feature Engineering

Creating useful computational features.

34

Model Evaluation

Evaluating machine learning performance.

35

Biological ML Datasets

Preparing biological datasets for ML.

36

ML for Biological Classification

Building classification workflows.

37

AI-Assisted Data Analysis

Using AI tools to support analysis workflows.

38

Generative AI for Research

Exploring responsible AI-assisted research workflows.

39

Prompt Engineering for Biology

Creating effective prompts for research workflows.

40

AI-Assisted Literature Analysis

Organizing and analyzing scientific information.

41

AI-Assisted Coding

Using AI tools to support Python development.

42

AI Workflow Automation

Creating repeatable computational workflows.

43

Biological Dataset Project Planning

Planning a computational biology project.

44

Data Pipeline Development

Creating structured data-processing pipelines.

45

Research Documentation

Recording methodology and findings.

46

Reproducible Analysis

Organizing computational analysis for reuse.

47

Project Workflow Management

Creating organized and repeatable workflows.

48

Computational Project Planning

Planning a practical biology project.

49

Project 1 — DNA Analysis

Implement a complete DNA analysis project.

50

Project 2 — Protein Analysis

Develop a protein sequence analysis project.

51

Project 3 — Biological Dataset

Analyze a practical biological dataset.

52

Project 4 — Gene Expression

Perform a practical gene-expression analysis.

53

Project 5 — AI Bioinformatics Pipeline

Create an AI-assisted computational workflow.

54

Project Documentation

Document methodology, findings and implementation.

55

Portfolio Development

Prepare project evidence for your career portfolio.

56

Final Capstone Internship Project

Complete and present your computational biology project.

PRACTICAL PROJECT EXPERIENCE

Work on Computational Biology Projects

Move beyond concepts by applying Python, data analysis, computational biology and AI techniques to structured project work.

Project 01

DNA Sequence Analysis

Build a Python-based workflow for processing, analyzing and visualizing DNA sequence information.

Project 02

Protein Sequence Analysis

Explore protein sequences and develop a computational analysis workflow.

Project 03

Biological Dataset Analysis

Clean, explore and visualize a structured biological dataset using Python.

Project 04

Gene Expression Analysis

Work with gene-expression data and build an analytical workflow.

Project 05

AI-Assisted Bioinformatics Workflow

Explore how AI tools can assist computational workflows, documentation and data-analysis tasks.

Final Project

Computational Biology Capstone

Bring together Python, biological data, machine learning and AI-assisted analysis into a structured final project.

INTERNSHIP INTRODUCTION

See What You'll Experience

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

CAREER DEVELOPMENT

Build Evidence for Your Career Profile

Develop practical evidence that can support academic projects, portfolios, internship applications and entry-level opportunities.

Python Skills Work with Python-based computational workflows.
AI Skills Explore AI and ML applications in biology.
Project Portfolio Build structured project documentation.
Research Exposure Develop familiarity with computational research workflows.
Data Analysis Work with biological datasets and analytical methods.
Bioinformatics Explore computational approaches to biological data.
AI-Assisted Workflows Learn responsible ways to use AI tools.
Career Readiness Organize your learning and project evidence.

Get Industry-Recognized Internship Certification

Successfully complete the applicable internship requirements, projects and assigned activities to receive eligible internship completion documentation from The Nexora Group.

The Nexora Group Internship Certificate
Sample Certificate
📜
Internship Certificate

Professional internship completion documentation.

🏆
Project Completion

Recognition of successfully completed project work.

LOR Eligibility

Eligible interns may receive a Letter of Recommendation.

💼
Portfolio Evidence

Build documented evidence of your internship experience.

Build Your Experience. Complete Real Projects. Earn Recognition.

Take the next step toward building practical skills in computational biotechnology, biological data analysis, bioinformatics and AI-driven life-science applications.

Enroll for Internship →
INTERNSHIP COMPLETION

Complete Your Internship With Career Documentation

Eligible interns who successfully complete applicable internship requirements and assigned work may receive relevant internship completion documentation.

Build Your Internship Record

Your completed internship activities and eligible project work can help create documented evidence of your practical learning journey.

📜 Internship Certificate
🏆 Project Completion Documentation
✉ LOR Eligibility
📁 Project Portfolio
📚 Internship Learning Record
STUDENT EXPERIENCE

What Students Can Experience

Add verified student reviews here to showcase genuine internship experiences.

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“Add a verified student review describing their experience with the Computational Biology internship, projects and learning journey.”

Student Name Computational Biology Intern — India
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“Add a genuine review from a student who completed the internship and worked on computational biology or AI projects.”

Student Name Computational Biology Intern — USA
★★★★★

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CAREER ECOSYSTEM

Prepare for Opportunities Across Biotech & Technology

Develop transferable computational, Python, data and AI skills relevant to modern biotechnology, life-science data and technology environments.

Biotechnology
Pharma & Life Sciences
Bioinformatics
Genomics
Computational Research
Healthcare AI
Data Science
Research Labs
AI & ML
Biological Data
FINAL STEP

Ready to Begin Your Computational Biology Journey?

Apply for the Computational Biology with AI Internship and start building practical experience across biology, Python, data science and Artificial Intelligence.

Enroll for Internship →
Secure Your Internship Registration

Complete the registration form below to apply for the Computational Biology with AI Internship.

⏰ INTERNSHIP APPLICATIONS

Applications Are Open — Apply Before Today's Deadline

The application countdown updates automatically.
00 Days
00 Hours
00 Minutes
00 Seconds
Registration Form
Fill in the details below to register for the Computational Biology 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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Trusted Collaborators

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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)

Some Top recruiters...

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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.

Skills You Will Gain in Computational Biology Internship

By joining our Computational Biology Internship Program, you will gain:

  • Fundamentals of Computational Biology and Bioinformatics
  • Python programming for biological data analysis
  • Genomics and DNA/RNA/Protein sequence analysis
  • Biological database handling using NCBI, GenBank, and related resources
  • Sequence alignment and BLAST analysis
  • Hands-on experience with Biopython and bioinformatics tools
  • Protein structure analysis and functional annotation
  • Biological data processing, visualization, and interpretation
  • Introduction to AI & Machine Learning in Computational Biology
  • Real-world bioinformatics and computational biology project experience
  • Industry-relevant technical and problem-solving skills
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