🧬 NEXORA GROUP • CAREER INTERNSHIP

Bioinformatics Intern

Build practical experience at the intersection of biology, programming, data science and computational research through a structured Bioinformatics Internship designed for students, graduates and aspiring computational biology professionals.

✓ Practical Bioinformatics Projects
✓ Biological Data Analysis
✓ DNA, RNA & Protein Analysis
✓ Python-Based Workflows
✓ Internship Certificate
✓ LOR Eligibility
✓ Performance-Based Stipend
✓ Remote Internship

Why Join This Internship?

✓
Real Bioinformatics Exposure Work with biological datasets, sequences and computational workflows.
✓
Project-Based Learning Build practical projects that can strengthen your technical portfolio.
✓
Career-Oriented Experience Develop skills relevant to computational biology and bioinformatics roles.
✓
Performance-Based Stipend Eligible performance-based stipend opportunity of ₹12,000–₹18,000.
56+
Learning Modules
Bio
Core Domain
6
Duration Options
100%
Online & Remote
⏰ INTERNSHIP APPLICATIONS

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ABOUT THE INTERNSHIP

Bioinformatics Internship at Nexora Group

Gain practical exposure to biological data analysis, sequence analysis, computational workflows, Python-based analysis and research-oriented projects.

🏢 About Nexora Group

Nexora Group provides structured internship and learning opportunities designed to help students and early-career learners gain practical experience through technical tasks, projects and career-oriented activities.

  • Structured internship environment
  • Project-oriented learning
  • Technical skill development
  • Career-focused assignments
  • Portfolio-oriented project work

🧬 About the Internship

The Bioinformatics Internship is designed for learners who want to explore the application of computational methods to biological and life-science data.

  • Biological data handling
  • DNA and RNA sequence analysis
  • Protein sequence analysis
  • Python-based analysis
  • Data visualization
  • Bioinformatics workflows

💼 Job Role

As a Bioinformatics Intern, you will assist with assigned activities involving biological datasets, computational analysis, research tasks and project development.

  • Analyze biological datasets
  • Process biological sequences
  • Perform computational analysis
  • Prepare analytical reports
  • Support project documentation
  • Complete assigned project milestones

📋 Responsibilities

  • Collect and organize biological data
  • Clean and preprocess datasets
  • Perform sequence analysis
  • Research biological databases
  • Create analytical workflows
  • Document methodology and findings
  • Prepare project presentations
  • Complete assigned internship tasks

🎓 Requirements

  • Basic understanding of biology or life sciences
  • Interest in bioinformatics and computational biology
  • Basic computer skills
  • Analytical and problem-solving mindset
  • Willingness to learn Python
  • Ability to work on project assignments

✅ Eligibility

  • B.Tech / B.E. students
  • B.Sc. / M.Sc. students
  • Biotechnology students
  • Bioinformatics students
  • Biochemistry students
  • Microbiology students
  • Genetics / Genomics students
  • Life-science graduates
  • Computer Science / Data Science students with relevant interest
  • Fresh graduates and career explorers
PERFORMANCE-BASED STIPEND

₹12,000 – ₹18,000

Eligible interns may receive a performance-based stipend in the range of ₹12,000–₹18,000. Stipend consideration may depend on performance, quality of work, participation, project completion and applicable Nexora Group criteria. Registration alone does not guarantee a stipend.

Performance Based Project Completion Work Quality Participation
SKILLS YOU BUILD

What You Will Learn

Build practical knowledge across computational biology, biological data, programming, statistics and bioinformatics workflows.

🧬

Sequence Analysis

Work with DNA, RNA and protein sequences using computational approaches.

🐍

Python for Bioinformatics

Use Python programming for biological data processing and analysis.

📊

Biological Data Analysis

Clean, transform, analyze and visualize biological datasets.

🔬

Computational Biology

Understand computational approaches used in modern life-science research.

💻

Bioinformatics Tools

Explore computational tools, databases and structured workflows.

📈

Research Projects

Apply your knowledge through practical portfolio-oriented projects.

PROJECT-BASED EXPERIENCE

Build Practical Bioinformatics Projects

Apply your knowledge through structured projects designed around biological datasets, sequence analysis and computational workflows.

PROJECT 01

DNA Sequence Analysis

Analyze DNA sequences using Python and implement sequence-processing workflows.

PROJECT 02

Protein Sequence Analysis

Work with protein sequences and perform computational analysis.

PROJECT 03

Biological Dataset Analysis

Process and visualize biological datasets to identify patterns and insights.

PROJECT 04

Gene Expression Analysis

Explore gene-expression datasets and develop a practical analysis workflow.

PROJECT 05

Bioinformatics Data Pipeline

Create a structured workflow for processing and analyzing biological information.

PROJECT 06

Final Capstone Project

Combine your internship learning into a final portfolio-oriented implementation.

INTERNSHIP OUTCOMES

What You Can Gain

The internship is structured to help participants develop practical, technical and project-oriented experience.

🧪

Practical Experience

Apply bioinformatics concepts to biological datasets and project tasks.

📊

Data Analysis Skills

Develop experience with data cleaning, analysis, visualization and interpretation.

💻

Technical Portfolio

Create project evidence that can support your academic or professional profile.

🔬

Research Exposure

Develop familiarity with computational approaches used in biological research.

📜

Internship Documentation

Eligible participants can receive applicable internship documentation after completing requirements.

🚀

Career Readiness

Strengthen your understanding of bioinformatics projects and technical communication.

INTERNSHIP CURRICULUM

Bioinformatics Intern — Learning Modules

A structured learning path covering programming, biological data, sequence analysis, databases, statistics, machine learning and projects.

01

Introduction to Bioinformatics

Understanding bioinformatics and its applications.

02

Biology for Computational Learners

Essential biological concepts for bioinformatics.

03

Python Programming Fundamentals

Python syntax, variables and programming basics.

04

Python Data Structures

Lists, tuples, dictionaries and biological data handling.

05

Python Control Flow

Conditions, loops and logical programming.

06

Python Functions

Functions, parameters and reusable programming.

07

Python File Handling

Reading, writing and processing data files.

08

Biological Data Formats

Understanding common biological data formats.

09

FASTA Files

Reading and processing sequence files.

10

FASTQ Files

Introduction to sequencing data formats.

11

DNA Sequence Analysis

Working with DNA sequences programmatically.

12

RNA Sequence Analysis

Computational analysis of RNA sequences.

13

Protein Sequence Analysis

Understanding and processing protein sequences.

14

Sequence Statistics

Computing useful sequence-level statistics.

15

GC Content Analysis

Calculate and interpret GC content.

16

Sequence Pattern Analysis

Identify patterns within biological sequences.

17

Sequence Alignment Concepts

Understanding sequence alignment principles.

18

Pairwise Alignment

Computational sequence comparison.

19

Multiple Sequence Alignment

Working with multiple biological sequences.

20

Biopython Introduction

Using Biopython for computational biology.

21

Biopython Sequence Objects

Manipulating biological sequences in Python.

22

Biological Databases

Introduction to major biological databases.

23

NCBI Resources

Exploring public biological information resources.

24

Gene Data Analysis

Working with gene-related datasets.

25

Gene Expression Concepts

Understanding gene-expression data.

26

Gene Expression Analysis

Practical analysis of expression datasets.

27

Data Cleaning

Preparing biological datasets for analysis.

28

Exploratory Data Analysis

Finding patterns in biological datasets.

29

Data Visualization

Charts and graphical biological analysis.

30

Statistical Concepts

Statistics used in biological data analysis.

31

Correlation Analysis

Finding relationships between biological variables.

32

Clustering Concepts

Grouping biological observations computationally.

33

Machine Learning Introduction

Machine learning concepts for biological datasets.

34

Classification

Understanding biological classification problems.

35

Regression

Introduction to predictive biological analysis.

36

Model Evaluation

Understanding basic model performance metrics.

37

Bioinformatics Workflow Design

Building structured computational workflows.

38

Research Data Management

Organizing and documenting project datasets.

39

Reproducible Analysis

Creating organized and repeatable workflows.

40

Bioinformatics Project Planning

Planning a practical computational project.

41

DNA Analysis Project

Implement a complete DNA sequence project.

42

Protein Analysis Project

Develop a protein sequence analysis project.

43

Biological Dataset Project

Analyze a real-world style biological dataset.

44

Gene Expression Project

Perform practical gene-expression analysis.

45

Bioinformatics Pipeline Project

Create a structured Python-based workflow.

46

Project Documentation

Document methodology, findings and implementation.

47

Portfolio Development

Prepare project evidence for your career portfolio.

48

Final Capstone Project

Complete a final bioinformatics implementation.

STUDENT EXPERIENCES

What Students Say

Feedback section for verified internship participants.

★★★★★

“The internship helped me understand how biological data can be analyzed using programming and computational methods. The project work was especially useful.”

Bioinformatics Student Internship Participant
★★★★★

“I gained practical exposure to sequence analysis, Python and biological datasets. The structured project approach helped me organize my learning.”

Biotechnology Student Internship Participant
★★★★★

“The project-based format gave me practical work to discuss in my academic and career profile and helped me explore bioinformatics as a career direction.”

Life Sciences Student Internship Participant
INTERNSHIP BENEFITS

Build Your Bioinformatics Career Profile

Complete the applicable internship requirements and project activities to be considered for available internship documentation and career-oriented benefits.

Internship Certificate LOR Eligibility Project Experience Portfolio Work Career Exposure
APPLICATION / REGISTRATION

Apply for Bioinformatics Internship

Complete the application form below to register your interest in the Bioinformatics Intern opportunity with Nexora Group.

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Bioinformatics Intern Registration

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Bioinformatics Intern

🌍 International Candidates

If you are applying from outside India, please complete your registration through our International Registration Portal.

Complete International Registration

For candidates residing outside India only.

Ready to Start Your Bioinformatics Journey?

Apply for the Nexora Group Bioinformatics Internship and develop practical experience in biological data analysis, computational biology and bioinformatics projects.

Apply for Bioinformatics Internship →

🧪 Real Bioinformatics Projects

Work on real biological datasets including DNA sequence analysis, genomic data interpretation, and research-based problem solving.

🐍 Python for Biological Data

Learn Python specifically for handling biological data formats like FASTA, FASTQ, CSV, and research datasets.

🔬 Core Bioinformatics Skills

Understand genomics basics, sequence alignment, biological databases, and computational biology concepts.

👨‍🏫 Mentorship from Experts

Get structured guidance, project reviews, and technical feedback from experienced mentors.

🗂️ Research Workflow & Documentation

Learn how to document research findings, prepare structured reports, and follow industry-standard workflow practices.

⚙️ Bioinformatics Tools & Libraries

Hands-on practice with Biopython, Pandas, NumPy, Matplotlib, and biological data processing tools.

🎓 Internship Certificate + Project Certificate

Receive a professional Internship Completion Certificate and Project Completion Certificate from TheNexoraGroup.

📚 Live Sessions + Recorded Access

Attend interactive training sessions and get access to recorded content for revision anytime.

🚀 Career & Higher Study Guidance

Resume support, interview preparation guidance, and career direction in bioinformatics & research domains.

Tech Stack & Hands-on Experience

Unlock These Bioinformatics Skills During the Program

🐍 Programming & Data Analysis

Python for Bioinformatics

NumPy & Pandas for biological data handling

File processing (FASTA, FASTQ, CSV)

Data cleaning & preprocessing

Statistical basics for biological datasets

🔬 Core Bioinformatics Concepts

DNA, RNA & Protein sequence analysis

Sequence alignment (local & global concepts)

GC content & mutation analysis

Phylogenetic tree basics

Genomics & transcriptomics fundamentals

🧪 Bioinformatics Libraries & Tools

Biopython for sequence manipulation

NCBI database access & data extraction

BLAST fundamentals

Genome data parsing techniques

Biological data visualization tools

🗄️ Biological Databases & Storage

Working with genomic repositories

Understanding public biological datasets

Managing large research datasets

Introduction to biological data formats

📊 Data Visualization & Interpretation

Gene expression visualization

Sequence comparison charts

Statistical plots using Matplotlib

Research result interpretation

⚙️ Workflow & Automation

Writing reusable bioinformatics scripts

Automating sequence analysis tasks

Batch processing biological data

Generating automated reports

Internship Project Roadmap:

Full Stack Web Developer Internship with Major, Minor, and Practice Projects:

🔬 Major Projects (Industry-Level Capstone Projects)

🧪 1️⃣ Genomic Sequence Analysis Platform

Develop a Python-based tool to analyze DNA/RNA sequences, calculate GC content, detect mutations, and generate structured biological reports.

🧬 2️⃣ Gene Expression Data Analysis System

Analyze real gene expression datasets using Pandas & visualization tools to identify patterns and biological insights.

🧫 3️⃣ Protein Structure & Similarity Analysis Tool

Build a system to compare protein sequences and interpret structure-function relationships using Biopython.

🧪 Minor Projects (Medium-Level Practical Projects)

🧬 1️⃣ FASTA File Analyzer

Create a Python script to parse and analyze FASTA files for sequence length, composition, and statistics.

🧪 2️⃣ Sequence Alignment Mini Tool

Implement a basic local/global alignment logic for comparing biological sequences.

🧫 3️⃣ Mutation Detection Script

Develop a program to identify variations between reference and sample sequences.

Practice Projects (Small, Quick Projects)

🧬 GC Content Calculator

Calculate GC percentage from DNA sequences.

🧪 DNA to Protein Translator

Write a script to convert nucleotide sequences into amino acid sequences.

🧫 Biological Data Visualization

Create plots for gene expression or sequence comparisons.

🧬 NCBI Data Fetch Script

Use Python to fetch biological data from public databases.

🧪 Batch Sequence Processing Tool

Automate processing of multiple biological sequence files.

Trusted Collaborators

Why You Need This Internship

🔥 Don't just prepare for a job. Prepare for a future. Enroll Now! 🔥

1. The Job Market is Brutal — Skills Beat Degrees
Today, a degree alone isn’t enough. Companies hire those who can build real-world projects, not just write exams. This internship teaches you exactly what the industry demands, making you job-ready — not just book-smart.

2. You’re Stuck in “Tutorial Hell” — It’s Time to Break Free
Watching endless YouTube videos and following tutorials won’t make you a real developer. Here, you’ll build real projects, work like a real developer, and finally feel confident to face interviews and clients.

3. Confidence Comes From Action — Not Just Learning
Most students fear interviews because they haven’t actually applied their knowledge. This internship gives you hands-on experience, teamwork exposure, and the chance to build a portfolio that speaks louder than your resume.

4. Learn Smart, Not Hard — Focused Curriculum, Zero Wastage
No more wasting time on outdated topics. Our program is laser-focused on the exact skills tech companies demand in 2025 — React, Node.js, MongoDB, GitHub, APIs, Hosting — everything you truly need to succeed.

5. Real-World Projects — Proof of Your Talent
Employers don’t care what courses you attended; they care what you can build. This internship lets you build apps, deploy websites, and showcase your skills with pride.

6. You Deserve a Career, Not Just a Job
You’ve worked hard. You deserve more than rejections and unpaid internships. With the right skills, you can start your career strong, earn respect, and stand out — no matter your background.

7.Graduating Isn’t Enough Anymore — Skills Are the New Degree
In today’s competitive world, only those who can prove their skills survive. This internship transforms you from just another graduate into a true developer.

8.Learn How Real Developers Work
Textbook knowledge won’t teach you teamwork, client handling, deadlines, and real-world problem-solving. Here, you work on real projects, with real deadlines, in a real remote environment.

Eligibility Criteria

This internship is ideal for:

  • B.Sc / M.Sc (Biology, Biotechnology, Microbiology, Bioinformatics)

  • B.Tech / M.Tech (Biotechnology, Biomedical Engineering, Computer Science)

  • Life Science Students

  • Research Enthusiasts

  • Anyone interested in Computational Biology & Genomics

Basic knowledge of biology is preferred. Python basics are helpful but not mandatory.

"Your Gateway to Real-World Experience – LIVE Sessions in Progress"

Duration: Choose Your Internship Length —

⏳ Time Left to Apply Today:
ENROLLMENT FORM

Fill the form below to get enrolled in the program 👇🏻

Python for Bioinformatics

🌍 International Candidates

If you are applying from outside India, please complete your registration through our International Registration Portal.

Complete International Registration

For candidates residing outside India only.

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...

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
Python for Bioinformatics

🌍 International Candidates

If you are applying from outside India, please complete your registration through our International Registration Portal.

Complete International Registration

For candidates residing outside India only.

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