Bioinformatics Mentorship Program (BMP)
A selective, research-grade mentorship led by Md. Jubayer Hossain. Master production-grade pipelines in Linux, Python, R & AI across Bulk RNA-seq, Single-Cell genomics, Spatial Transcriptomics (Visium HD & Xenium), and Machine Learning toward high-impact publication and international PhD admissions.
Curriculum Framework
Raw Data to Bio-AI Deployment
Program Structure & Schedule
Transparent month-to-month fee. Zero hardware setup costs.
What You'll Learn
A comprehensive, hands-on path from computational fundamentals to the cutting-edge of modern genomics and AI — explained simply and step-by-step.
Technical Foundation: Linux, Python + R
Learn to navigate the command line with confidence, write Python parsing scripts, and code statistical R analyses. You'll master environment setup, file handling, and data visualization from scratch.
Bulk Transcriptomics
Discover which genes turn on or off in diseases like cancer. You'll take raw sequencing reads, quantify gene expression, find altered pathways, and combine multiple datasets into a powerful meta-analysis.
Single-Cell Transcriptomics
Zoom inside tissue to study thousands of cells individually. You'll isolate cell types, discover rare immune cell populations, and trace how cell states change during disease development.
Spatial Transcriptomics
Map active genes directly onto tissue microscope images. See exactly where disease cells live, how tumor microenvironments interact, and where therapeutic targets are located in 2D space.
AI in Computational Biology
Master machine learning and deep learning for biological data. Learn FAIR data principles, feature engineering, predictive modeling, and agentic AI workflows for life sciences.
Where This Mentorship Takes You
Transcriptomics is the fastest-growing skill in biological sciences. Here is how mastering it transforms your research independence, publications, and international academic career.
Funded MS & PhD Admissions
Top international graduate programs require demonstrable dry-lab experience. You graduate with a verified GitHub portfolio, battle-tested pipelines, and the exact skills professors look for in graduate research assistants.
Peer-Reviewed Publications
Go from consumer of papers to author. Learn to formulate biological hypotheses, run multi-cohort meta-analyses on public datasets (GEO/TCGA), and generate publication-quality figures that reviewers respect.
Industry & Lab Independence
Stop waiting for external bioinformatics collaborators. Process your lab's raw sequencing data in-house, troubleshoot pipelines independently, and become the indispensable dry-lab lead in your department.
Research Fields You Can Enter Immediately
The skills in Linux, Python, R, Bulk RNA-seq, Single-Cell, Spatial transcriptomics, and AI apply directly to:
Bioinformatics in the Era of AI
Why domain mastery in Linux, Python & R is the single most valuable advantage for modern life science researchers.
Can AI replace bioinformaticians?
AI eliminates tedious syntax barriers so you focus on high-impact discovery:
- ✓Instant syntax assistance & rapid shell script drafting
- ✓Fast environment configuration & container troubleshooting
- ✓Instant Bioconductor, Python & package lookups
- ✓Automated pipeline documentation & reproducible code formatting
- ✓Accelerated publication figure styling and palette customization
Do I still need to learn bioinformatics?
AI models lack biological intuition and fail silently on raw data:
- ✗Generates plausible-looking code with invalid statistical assumptions
- ✗Hallucinates nonexistent Python & R functions, parameters, or genome builds
- ✗Confuses basic overlap tests with true GSEA — leading to journal rejections
- ✗You cannot direct, debug, or validate what you don't deeply understand
Perspective Reference: Goh, W.W.B., Polster, A., Wong, L. & Cvijovic, M. “Rethinking bioinformatics expertise in the era of artificial intelligence.” npj Digital Medicine (Nature Portfolio, 2026). View Paper
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
A structured framework designed to eliminate every beginner bottleneck and guide you to independent computational research.
Pre-configured environment — just use it
Skip hours of installation headaches and dependency errors. We provide tested, pre-configured computational environments and package setups so you start analyzing from Day 1.
Linux from zero — live, guided practice
No prior terminal experience needed. We demystify the Linux command line step-by-step with real-time feedback — covering navigation, file manipulation, and script automation.
Real data formats, demystified live
Stop guessing what goes into each tool. Work hands-on with authentic genomic file formats — FASTQ, BAM, SAM, GTF, BED, VCF, and count matrices — understanding how they connect.
Lean Python & R — only what you need for Omics, Single-Cell, Spatial & AI
We skip generic coding theory to focus strictly on what drives genomics research: Python sequence handling, tidyverse data wrangling, DESeq2 differential expression, Seurat v5 single-cell workflows, and Bio-AI modeling.
Ready-to-use scripts for your own data
Take home clean, modular, fully annotated Python & R scripts and Bash pipelines that you can immediately point at your own research laboratory datasets to generate publication-grade figures.
Lifetime recordings + RA Opportunity in active projects
Enjoy permanent access to all session recordings and course materials, plus direct eligibility for Research Assistant (RA) opportunities in active projects.
Ready-to-Use Research Pipelines
Get fully annotated, production-ready Python & R scripts you can immediately run on your own research datasets.
Bulk_RNAseq/
End-to-end RNA-seq from raw reads to count tables, DESeq2 differential expression, and GSEA functional pathway analysis.
Bulk_Meta/
Multi-cohort transcriptomics meta-analysis combining independent GEO datasets with ComBat batch removal and REM modeling.
Single_Cell/
Single-cell Python workflows: Scanpy QC, DoubletDetection, Harmony integration, UMAP clustering, and cell type annotation.
Spatial_Omics/
10x Visium HD & Xenium Python pipelines: spot/cell QC, SpatialData objects, domain clustering, and tissue niche modeling.
Bio_AI_ML/
Omics Machine Learning & Deep Learning: feature selection, predictive classifiers, SHAP values, and agentic AI scripts.
Start from raw sequencing reads or from a count matrix — the Python & R pipelines meet your data wherever it is.
How Does the Program Run?
A structured 4-stage execution loop designed to transform theoretical knowledge into verifiable research output and publication-grade pipelines.
Live Interactive Lectures
Attend weekly hands-on live sessions with live screen-sharing, code walkthroughs, and real-time debugging. Each module is completed sequentially from basics to advanced analysis.
Hands-on Group Projects
Apply each completed module to authentic research datasets. Form focused study teams to process raw sequencing reads, run differential expression, and construct pathways together.
Participant Peer-Review
Participate in structured peer review among cohort participants. Review fellow mentees' code, validate biological hypotheses, reproduce figures, and give actionable critiques.
Verified GitHub Portfolio
Graduate with clean, documented, reproducible GitHub repositories that prove your dry-lab competence to international professors, PhD admissions committees, and employers.
Continuous Feedback & Execution Cycle
Every module follows this loop: live lecture mastery → hands-on group implementation → participant peer-review → production GitHub commit.
Program 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
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 i...
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 ...
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 effectiv...
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 ...
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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 p...
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 BigBioinforma...
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.
Through the courses offered by Research Help Bangladesh, I had the opportunity to attend many classes. Among all the classes I have attended, these were some of the most interactive and engaging on...
Thanks vaiya for making easier way to learn each and every details of R programming. I hope this will be helpful for my research journey. I'm so grateful that I am learning things like R programmin...
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 i...
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 ...
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 effectiv...
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 ...
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 p...
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 BigBioinforma...
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.
Through the courses offered by Research Help Bangladesh, I had the opportunity to attend many classes. Among all the classes I have attended, these were some of the most interactive and engaging on...
Thanks vaiya for making easier way to learn each and every details of R programming. I hope this will be helpful for my research journey. I'm so grateful that I am learning things like R programmin...
Thanks vaiya for making easier way to learn each and every details of R programming. I hope this will be helpful for my research journey. I'm so grateful that I am learning things like R programmin...
Through the courses offered by Research Help Bangladesh, I had the opportunity to attend many classes. Among all the classes I have attended, these were some of the most interactive and engaging on...
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 BigBioinforma...
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 p...
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 ...
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 effectiv...
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 ...
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 i...
Thanks vaiya for making easier way to learn each and every details of R programming. I hope this will be helpful for my research journey. I'm so grateful that I am learning things like R programmin...
Through the courses offered by Research Help Bangladesh, I had the opportunity to attend many classes. Among all the classes I have attended, these were some of the most interactive and engaging on...
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 BigBioinforma...
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 p...
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 ...
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 effectiv...
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 ...
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 i...
Cohort 02 Capstone Projects
Single-Cell Projects Built by Cohort 02
Every BMP mentee team ships a complete, reproducible single-cell RNA-seq analysis — raw 10x data to clustering, differential expression, and pathway enrichment — published as an open GitHub repository.
Müller Glia Activation During Retina Regeneration
Independent Python/Scanpy reanalysis of careg:EGFP adult zebrafish retina across an MNU photoreceptor-injury time course, reproducing 14 of 18 published panels and matching the reporter time course within 0.2 percentage points.
Sex-Biased Brain Response to Cocaine Exposure
Reanalysis of the Drosophila melanogaster brain following cocaine versus sucrose exposure across both sexes — rebuilding the cell-clustering atlas, annotating neuronal and glial populations, and testing sex-biased transcriptional response.
Pre-Encoded Type I Interferon Responsiveness and Anti-PD-1 Therapy
Single-cell profiling of peripheral immune cells to test whether pre-existing IFN-I responsiveness tracks with anti-PD-1 outcome, using a six-gene Interferon Response Capacity signature to split IRC-High and IRC-Low cell states.
Immune Remodeling Across the Cervical Cancer Progression Continuum
Reconstruction of the normal cervix–HSIL–carcinoma transcriptional landscape from nine 10x samples, mapping tumor microenvironment remodeling, immune checkpoint activation, and T-cell exhaustion signatures stage by stage.
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
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."
Dedicated Lab Support: 8 Teaching Assistants
You are never left stuck on a broken pipeline or terminal error. Our team of 8 Teaching Assistants provides continuous 1-on-1 code debugging, milestone reviews, and live breakout support throughout the entire cohort.
Enrollment
Start Your Journey
This is an intensive, hands-on program for serious researchers. Limited to 30 participants to ensure personalized mentorship and accountability.
Selection Criteria
Session times and cohort start dates coordinated based on mentor and participant availability.
Pay by 5th of each month
June Flash Offer: Join by June 25
Fee is non-negotiable.
Enrollment Process
Applications reviewed within 7 days. Cohort confirmed 2 weeks before start date.
Apply for BMP Mentorship →