Launch Your Bioinformatics Research Career.
A selective, intensive mentorship for researchers targeting international PhD programs and high-impact careers in genomics. Go beyond basics to master production-grade pipelines and research independence.
Mentored by Md. Jubayer HossainProgram Fit
Is This Program Right for You?
This is a selective, research-grade mentorship — not a general course. Read both columns before applying.
- Serious about building a bioinformatics research career (academia or industry)
- Targeting MS/PhD programs in international research labs (USA, Europe)
- Ready to contribute to national labs under a university supervisor
- Committed to working on real, technically demanding research problems
- Willing to dedicate 10+ hours/week to hands-on analysis
- Hobbyists or those exploring bioinformatics casually
- Looking for rapid or guaranteed publications
- Seeking shortcuts, pre-built results, or just a certificate
- Unable to commit to a technically intensive, 12-week environment
- Preferring passive learning over independent, mentor-guided research
This program prepares every participant for independent publication. There is no authorship guarantee — authorship on mentor-led projects is earned through demonstrated contribution during the mentorship.
We adhere to strict ethical standards: authorship is never "gifted" or sold through course fees. It is a recognition of intellectual and technical work, ensuring the integrity of your research portfolio and future career.
Program Outcomes
Research Independence
Computational skills are now a baseline requirement for modern life sciences research.
A Career Path for Global Research
Receive a complete bioinformatics roadmap tailored for career advancement in international academia and industry. Understand exactly what you need to master to be competitive in USA and European graduate programs.
Independent Research Excellence
The program prepares every participant for independent publication. While there is no authorship guarantee, you will master the manuscript writing and data standards required to lead your own research projects.
GitHub-Ready Research Assets
Build a complete, end-to-end research portfolio hosted on GitHub. Demonstrate your technical mastery with reproducible code, Nextflow pipelines, and production-grade visualizations to prospective supervisors and employers.
Why This Matters
Critical Skills
The question is no longer if your research involves NGS data, but whether you can analyze it directly.
You understand the biology — take ownership of the data
RNA-seq is now routine across labs of every scale, yet most researchers still outsource the analysis. No collaborator shares your depth of knowledge about experimental controls, design rationale, or underlying biology. Handling your own data leads to faster turnarounds and more hypothesis-driven, accurate findings.
Bridging bench and computation is a genuine career edge
Pharmaceutical and biotech teams increasingly hire researchers who move fluidly between wet and dry lab work. This profile remains rare — and it reflects directly in compensation and the scope of roles available. Specialists anchored to only one side consistently find fewer doors open to them.
The field has shifted — computational literacy is now the floor
NGS data spans every corner of life sciences today. Research groups without in-house analysis capability are waiting on collaborators, slipping on deadlines, and falling behind in competitive publication landscapes. Working fluently with sequencing data is no longer a differentiator — it's a baseline expectation.
The Real Obstacles
The Obstacles
The biology isn't the hard part. Here is what actually blocks researchers from starting.
The Linux command line — before a single analysis even begins
Almost every bioinformatics tool runs in a Linux terminal. Most tutorials skip this entirely, assuming you already know it. Most beginners don't — and get stuck immediately.
Tool installation feels like black magic
Setting up STAR, featureCounts, or Salmon from scratch involves dependency management, PATH variables, and environment configuration — all opaque to someone just trying to analyze RNA-seq data.
The Compute Gap — Personal hardware vs. Production-grade data
Modern genomics requires significant RAM and processing power that standard laptops can't provide. We move you beyond local bottlenecks to professional HPC and Cloud environments.
A maze of file formats with no map
FASTQ, BAM, SAM, GTF, BED, VCF — knowing which tool requires which format, and how to convert between them, is genuinely confusing when you're starting out.
Written tutorials have no "start here" arrow
Even comprehensive tutorials can overwhelm a beginner who doesn't know which section to read first, what to skip, or how to connect the pieces into a coherent pipeline.
How This Program Solves It
Our Solution
We built this program to solve every specific bottleneck for beginners.
Production-grade Nextflow pipelines
Master reproducible bioinformatics with Nextflow. Learn to build and run production-ready pipelines that are standard in international research labs and industry settings.
Docker for bioinformatics
Solve the 'it works on my machine' problem. Learn to containerize your environments using Docker, ensuring your research is fully reproducible and portable across any system.
AI-powered productivity
Leverage Claude Code and Gemini CLI to accelerate your bioinformatics workflows. Learn to use LLMs responsibly for code generation, debugging, and data interpretation.
Linux & HPC Mastery
Go beyond the basics. Master the Linux command line and learn to scale your analyses on High-Performance Computing (HPC) and Cloud environments.
Fluent R & Python
Gain technical mastery in the two most important languages for bioinformatics. Learn exactly what you need for high-impact NGS and Single-Cell analysis.
Bioinformatics Writing
Learn the art of manuscript writing. From data visualization to results interpretation, we guide you through the process of communicating complex findings effectively.
Program Timeline
The 12-Week Roadmap
A rigorous, session-by-session progression from computational foundations to advanced single-cell omics and AI.
Build a production-grade foundation. Master environment isolation to ensure your research is reproducible across any lab cluster.
Gain the primary skill for computational biology. Navigate remote servers and automate heavy processing tasks with confidence.
Learn to handle massive datasets. Master job submission on High-Performance Computing clusters—a prerequisite for top-tier PhD labs.
Professional data standards. Learn secure transfer and sharing protocols used in collaborative international research projects.
End dependency hell. Containerize your analysis so it runs identically on your laptop, a server, or a cloud provider.
Master industry-standard pipelines. Build scalable, fault-tolerant workflows that are the gold standard in modern genomics.
Go beyond basic scripts. Build custom tools to parse unique biological formats and integrate AI models into your research.
The language of statistical genomics. Master data wrangling and publication-quality visualization for high-impact journals.
Identify disease-causing mutations. Learn the Broad Institute's best-practice workflows for germline and somatic discovery.
Statistical genetics mastery. Perform large-scale association studies to link genetic variants to complex phenotypes.
Upstream processing. Master quality control and high-speed alignment—the engine room of transcriptomic research.
Downstream analysis. Master DESeq2/edgeR to find biological signal in noisy data and identify key disease biomarkers.
Biological interpretation. Use GSEA and Over-Representation Analysis to turn gene lists into actionable biological mechanisms.
Leverage global resources. Mine GEO and TCGA to validate your findings and increase the statistical power of your research.
The future of genomics. Master CellRanger and pseudo-bulk processing for high-resolution cellular maps.
Ensure data integrity. Learn to identify and remove doublets and low-quality cells to prevent false discoveries.
Batch effect correction. Merge multiple datasets and identify unique cell populations across different biological conditions.
Annotation expertise. Use reference-based and marker-based methods to accurately name clusters—a critical lab skill.
Advanced single-cell logic. Perform proportion testing and trajectory inference to see how cell states change over time.
Public data mastery. Learn to integrate your experimental data with large-scale human cell atlases.
The new paradigm. Learn how Large Language Models and AI agents are revolutionizing bioinformatics productivity.
Predictive biology. Master scikit-learn for classification and regression tasks on high-dimensional omics data.
Advanced neural networks. Explore how transformer architectures are used for protein folding and sequence prediction.
Get published. Learn to write methods and results that meet the rigorous standards of international peer-reviewed journals.
Technical Stack
Production-Grade Tools
Master the exact software ecosystem used by international research labs and top-tier biotech companies.
What's Included
What's Included
One enrollment covers the full program experience — tools, support, and materials.
About the Mentor
Md. Jubayer Hossain
Founder & CEO, DeepBio Ltd
Md. Jubayer Hossain is a bioinformatician and computational biologist with five years of experience spanning both active research and teaching. Since 2020, he has trained over 3,000 students — from complete beginners to graduate researchers — in the practical skills required to work with real biological data.
As Founder & CEO of DeepBio Ltd, Jubayer combines research rigor with a structured approach to education. His teaching is grounded in what he does daily: designing and running computational analyses on real datasets. Every student in this program works directly with him — not a TA, not a substitute — toward a concrete, submittable research output.
"My role is to accelerate your journey from question to discovery. You bring the curiosity; I bring the roadmap, the tools, and the accountability to ensure you succeed."
Selected Publications
Peer-reviewed research at the intersection of bioinformatics, computational biology, and public health data science.
Scientific Reports
Pan-cancer analysis reveals immunological and prognostic significance of CCT5 in human tumors
2024
BMC Genomics
Meta-Analysis of Genomic Variants Using Integrative Computational Methods
2023
Scientific Reports
Comprehensive bioinformatics analysis reveals prognostic significance and immunological roles of WNT gene family in breast cancer
2023
Current Cohort
Current Cohort
Meet the researchers currently building their bioinformatics portfolios.
Mentee Testimonials
Mentee Feedback
Direct feedback from mentees across 12+ universities who transformed their research.
My research journey was significantly shaped by my experience at CHIRAL Bangladesh. The structured internship helped me understand principles of responsible research and evidence-based scientific inquiry.
The mentorship helped me understand the fundamentals of scientific research and R programming. I learned how to approach a research problem, analyze data systematically, and interpret results more effectively.
Great teacher and an inspiring mentor. Loving every moment of learning from Jubayer vai.
I get the full support during my internship programme and also getting any kind of mentorship regularly, which brings my confidence level to finish my work properly.
Being part of the Big Bioinformatics Lab has been a transformative experience. The mentorship provided me with the technical skills and analytical mindset needed to handle complex datasets effectively.
The internship was a turning point as I began my bioinformatics journey. Under his guidance, I strengthened my skills in R programming, transcriptomics, and cancer bioinformatics — and worked on a kidney cancer project now becoming a full paper.
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Our Lead Trainer MD Jubayer vai is really a polite and professional mentor. Working with him is a joy and pleasure — learning from him was very unique and interesting.
The mentor provided clear direction, shared useful knowledge, and encouraged me to think critically about my work. It built my confidence in conducting research and planning my career path.
Before joining this platform, I had limited knowledge about how to apply bioinformatics practically. Now I can understand where to start research and I've applied these skills to my undergraduate project.
My experience with the 1-on-1 Bioinformatics Mentorship Program has been one of the most impactful parts of my academic journey. It fundamentally changed my perspective on research.
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Whatever I know about the fundamentals of conducting research, ethics, academic writing, and how to learn something new on my own — I learned it from you.
My mentorship experience with Chiral Bangladesh significantly enhanced my research skills and understanding of Drug Design, strengthening my motivation to pursue pharmaceutical research.
The teaching style and the resources provided were excellent. I highly recommend this lab to anyone who wants to start learning single-cell RNA-seq analysis.
I first learned proper research methods, R language, and basic cancer bioinformatics from Md. Jubayer. He explained difficult topics in a simple and clear way. Now I am working in the BigBioinformatics Lab under his supervision.
One of the most valuable parts was learning how to read and write a research paper. After Jubayer Bhai's sessions, many of my confusions were cleared. I have personally benefited a lot.
My research journey was significantly shaped by my experience at CHIRAL Bangladesh. The structured internship helped me understand principles of responsible research and evidence-based scientific inquiry.
The mentorship helped me understand the fundamentals of scientific research and R programming. I learned how to approach a research problem, analyze data systematically, and interpret results more effectively.
Great teacher and an inspiring mentor. Loving every moment of learning from Jubayer vai.
I get the full support during my internship programme and also getting any kind of mentorship regularly, which brings my confidence level to finish my work properly.
Being part of the Big Bioinformatics Lab has been a transformative experience. The mentorship provided me with the technical skills and analytical mindset needed to handle complex datasets effectively.
The internship was a turning point as I began my bioinformatics journey. Under his guidance, I strengthened my skills in R programming, transcriptomics, and cancer bioinformatics — and worked on a kidney cancer project now becoming a full paper.
Our Lead Trainer MD Jubayer vai is really a polite and professional mentor. Working with him is a joy and pleasure — learning from him was very unique and interesting.
The mentor provided clear direction, shared useful knowledge, and encouraged me to think critically about my work. It built my confidence in conducting research and planning my career path.
Before joining this platform, I had limited knowledge about how to apply bioinformatics practically. Now I can understand where to start research and I've applied these skills to my undergraduate project.
My experience with the 1-on-1 Bioinformatics Mentorship Program has been one of the most impactful parts of my academic journey. It fundamentally changed my perspective on research.
Whatever I know about the fundamentals of conducting research, ethics, academic writing, and how to learn something new on my own — I learned it from you.
My mentorship experience with Chiral Bangladesh significantly enhanced my research skills and understanding of Drug Design, strengthening my motivation to pursue pharmaceutical research.
The teaching style and the resources provided were excellent. I highly recommend this lab to anyone who wants to start learning single-cell RNA-seq analysis.
I first learned proper research methods, R language, and basic cancer bioinformatics from Md. Jubayer. He explained difficult topics in a simple and clear way. Now I am working in the BigBioinformatics Lab under his supervision.
One of the most valuable parts was learning how to read and write a research paper. After Jubayer Bhai's sessions, many of my confusions were cleared. I have personally benefited a lot.
One of the most valuable parts was learning how to read and write a research paper. After Jubayer Bhai's sessions, many of my confusions were cleared. I have personally benefited a lot.
I first learned proper research methods, R language, and basic cancer bioinformatics from Md. Jubayer. He explained difficult topics in a simple and clear way. Now I am working in the BigBioinformatics Lab under his supervision.
The teaching style and the resources provided were excellent. I highly recommend this lab to anyone who wants to start learning single-cell RNA-seq analysis.
My mentorship experience with Chiral Bangladesh significantly enhanced my research skills and understanding of Drug Design, strengthening my motivation to pursue pharmaceutical research.
Whatever I know about the fundamentals of conducting research, ethics, academic writing, and how to learn something new on my own — I learned it from you.
My experience with the 1-on-1 Bioinformatics Mentorship Program has been one of the most impactful parts of my academic journey. It fundamentally changed my perspective on research.
Before joining this platform, I had limited knowledge about how to apply bioinformatics practically. Now I can understand where to start research and I've applied these skills to my undergraduate project.
The mentor provided clear direction, shared useful knowledge, and encouraged me to think critically about my work. It built my confidence in conducting research and planning my career path.
Our Lead Trainer MD Jubayer vai is really a polite and professional mentor. Working with him is a joy and pleasure — learning from him was very unique and interesting.
The internship was a turning point as I began my bioinformatics journey. Under his guidance, I strengthened my skills in R programming, transcriptomics, and cancer bioinformatics — and worked on a kidney cancer project now becoming a full paper.
Being part of the Big Bioinformatics Lab has been a transformative experience. The mentorship provided me with the technical skills and analytical mindset needed to handle complex datasets effectively.
I get the full support during my internship programme and also getting any kind of mentorship regularly, which brings my confidence level to finish my work properly.
Great teacher and an inspiring mentor. Loving every moment of learning from Jubayer vai.
The mentorship helped me understand the fundamentals of scientific research and R programming. I learned how to approach a research problem, analyze data systematically, and interpret results more effectively.
My research journey was significantly shaped by my experience at CHIRAL Bangladesh. The structured internship helped me understand principles of responsible research and evidence-based scientific inquiry.
One of the most valuable parts was learning how to read and write a research paper. After Jubayer Bhai's sessions, many of my confusions were cleared. I have personally benefited a lot.
I first learned proper research methods, R language, and basic cancer bioinformatics from Md. Jubayer. He explained difficult topics in a simple and clear way. Now I am working in the BigBioinformatics Lab under his supervision.
The teaching style and the resources provided were excellent. I highly recommend this lab to anyone who wants to start learning single-cell RNA-seq analysis.
My mentorship experience with Chiral Bangladesh significantly enhanced my research skills and understanding of Drug Design, strengthening my motivation to pursue pharmaceutical research.
Whatever I know about the fundamentals of conducting research, ethics, academic writing, and how to learn something new on my own — I learned it from you.
My experience with the 1-on-1 Bioinformatics Mentorship Program has been one of the most impactful parts of my academic journey. It fundamentally changed my perspective on research.
Before joining this platform, I had limited knowledge about how to apply bioinformatics practically. Now I can understand where to start research and I've applied these skills to my undergraduate project.
The mentor provided clear direction, shared useful knowledge, and encouraged me to think critically about my work. It built my confidence in conducting research and planning my career path.
Our Lead Trainer MD Jubayer vai is really a polite and professional mentor. Working with him is a joy and pleasure — learning from him was very unique and interesting.
The internship was a turning point as I began my bioinformatics journey. Under his guidance, I strengthened my skills in R programming, transcriptomics, and cancer bioinformatics — and worked on a kidney cancer project now becoming a full paper.
Being part of the Big Bioinformatics Lab has been a transformative experience. The mentorship provided me with the technical skills and analytical mindset needed to handle complex datasets effectively.
I get the full support during my internship programme and also getting any kind of mentorship regularly, which brings my confidence level to finish my work properly.
Great teacher and an inspiring mentor. Loving every moment of learning from Jubayer vai.
The mentorship helped me understand the fundamentals of scientific research and R programming. I learned how to approach a research problem, analyze data systematically, and interpret results more effectively.
My research journey was significantly shaped by my experience at CHIRAL Bangladesh. The structured internship helped me understand principles of responsible research and evidence-based scientific inquiry.
Enrollment
Start Your Journey
This is an intensive, hands-on program for serious researchers. Limited to 20 participants to ensure personalized mentorship and accountability.
Selection Criteria
Session times and cohort start dates coordinated based on mentor and participant availability.
Fee is non-negotiable. Participants facing genuine financial hardship may contact the mentor directly with supporting documentation for consideration of a discount.
Enrollment Process
Applications reviewed within 7 days. Cohort confirmed 2 weeks before start date.
Apply Now →