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.
Why Choose This Internship?
Complete the registration form below to apply for the Computational Biology with AI Internship.
Applications Are Open — Apply Before Today's Deadline
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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.
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.
56 Modules to Build Practical Expertise
A structured journey from computational biology fundamentals to AI-assisted biological data projects and portfolio development.
Introduction to Computational Biology
Understanding the field and modern applications.
Computational Biology Ecosystem
Tools, workflows and career pathways.
Biology Fundamentals
Core biological concepts for computational work.
Cell & Molecular Biology
Cells, molecules and biological systems.
DNA, RNA & Proteins
Understanding biological information.
Biological Databases
Introduction to major biological data resources.
Python for Computational Biology
Python foundations for biological applications.
Python Data Structures
Lists, dictionaries, tuples and biological data handling.
Functions & Modular Programming
Creating reusable computational workflows.
NumPy for Biological Data
Numerical computing and arrays.
Pandas for Bio Data
Dataframes, filtering and biological datasets.
Data Cleaning
Preparing biological datasets for analysis.
Data Visualization
Charts and visual exploration of biological data.
Statistical Foundations
Basic statistics for biological datasets.
Probability for Biology
Probability concepts for computational analysis.
Sequence Analysis
Working with biological sequences.
DNA Sequence Processing
Practical sequence manipulation.
RNA Sequence Analysis
RNA data and computational analysis.
Protein Sequence Analysis
Protein sequence exploration.
Sequence Alignment Concepts
Understanding biological sequence comparison.
BLAST Concepts
Understanding sequence similarity searching.
Genomic Data
Introduction to computational genomics.
Genomics Workflows
Building structured genomic analysis workflows.
Transcriptomics
Understanding gene-expression data.
Gene Expression Analysis
Working with expression datasets.
Biological Network Concepts
Networks and biological relationships.
Protein Structure Concepts
Computational view of protein structures.
Molecular Data
Understanding molecular datasets.
Introduction to Artificial Intelligence
AI concepts and biological applications.
Machine Learning Fundamentals
Core machine learning concepts.
Supervised Learning
Classification and regression workflows.
Unsupervised Learning
Clustering and pattern discovery.
Feature Engineering
Creating useful computational features.
Model Evaluation
Evaluating machine learning performance.
Biological ML Datasets
Preparing biological datasets for ML.
ML for Biological Classification
Building classification workflows.
AI-Assisted Data Analysis
Using AI tools to support analysis workflows.
Generative AI for Research
Exploring responsible AI-assisted research workflows.
Prompt Engineering for Biology
Creating effective prompts for research workflows.
AI-Assisted Literature Analysis
Organizing and analyzing scientific information.
AI-Assisted Coding
Using AI tools to support Python development.
AI Workflow Automation
Creating repeatable computational workflows.
Biological Dataset Project Planning
Planning a computational biology project.
Data Pipeline Development
Creating structured data-processing pipelines.
Research Documentation
Recording methodology and findings.
Reproducible Analysis
Organizing computational analysis for reuse.
Project Workflow Management
Creating organized and repeatable workflows.
Computational Project Planning
Planning a practical biology project.
Project 1 — DNA Analysis
Implement a complete DNA analysis project.
Project 2 — Protein Analysis
Develop a protein sequence analysis project.
Project 3 — Biological Dataset
Analyze a practical biological dataset.
Project 4 — Gene Expression
Perform a practical gene-expression analysis.
Project 5 — AI Bioinformatics Pipeline
Create an AI-assisted computational workflow.
Project Documentation
Document methodology, findings and implementation.
Portfolio Development
Prepare project evidence for your career portfolio.
Final Capstone Internship Project
Complete and present your computational biology project.
Work on Computational Biology Projects
Move beyond concepts by applying Python, data analysis, computational biology and AI techniques to structured project work.
DNA Sequence Analysis
Build a Python-based workflow for processing, analyzing and visualizing DNA sequence information.
Protein Sequence Analysis
Explore protein sequences and develop a computational analysis workflow.
Biological Dataset Analysis
Clean, explore and visualize a structured biological dataset using Python.
Gene Expression Analysis
Work with gene-expression data and build an analytical workflow.
AI-Assisted Bioinformatics Workflow
Explore how AI tools can assist computational workflows, documentation and data-analysis tasks.
Computational Biology Capstone
Bring together Python, biological data, machine learning and AI-assisted analysis into a structured final project.
See What You'll Experience
Watch the internship introduction to understand the learning journey, projects, curriculum and practical experience.
Build Evidence for Your Career Profile
Develop practical evidence that can support academic projects, portfolios, internship applications and entry-level opportunities.
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.
Professional internship completion documentation.
Recognition of successfully completed project work.
Eligible interns may receive a Letter of Recommendation.
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 →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.
What Students Can Experience
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Student Name Computational Biology InternPrepare for Opportunities Across Biotech & Technology
Develop transferable computational, Python, data and AI skills relevant to modern biotechnology, life-science data and technology environments.
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 →Complete the registration form below to apply for the Computational Biology with AI Internship.
Applications Are Open — Apply Before Today's Deadline
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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
REGISTRATION FORM
Fill up the Below form to get registered in the program
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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