Hire the Best Bioinformatics Developers
in Egypt

I possess a formidable skill set that empowers me to thrive in this domain. With a profound comprehension of biology and computer science, I am capable of effectively handling, analyzing, and interpreting extensive genomic data utilizing advanced computational tools and algorithms. Furthermore, I bring valuable experience as a bioinformatics research associate, having diligently served in this role for a period of two years.

I'm a Top Rated freelancer and Computer Science graduate who works at the intersection of three fields most people treat separately: Statistics & Machine Learning, Bioinformatics, and AI. That combination is exactly what messy, high-dimensional data needs — the statistical rigor to trust the result, the ML to find the pattern, and the biological context to know what it means. With 3+ years of experience and 24 successful projects (4.98/5 avg. rating), here's what I bring: 📊 Statistics & Machine Learning Rigorous statistical inference and predictive modeling — hypothesis testing, causal inference (Mendelian Randomization), feature engineering, and ensemble models (XGBoost, LightGBM, Random Forest). I don't just build models that score well; I build models you can defend. Example: a coronary artery disease prediction model reaching 0.956 AUC, with feature ablation to prove what actually drives it. 🧬 Bioinformatics & Omics End-to-end analysis of complex biological data — scRNA-seq, RNA-seq, WGS/WES — using reproducible pipelines (Nextflow, Snakemake). From raw reads to normalized matrices to differential expression and biomarker discovery. Example: cut analysis time by 40% on large genomic projects through custom automated pipelines. 🤖 AI & Deep Learning Deep learning frameworks for real diagnostic problems — computer vision, medical image analysis, NLP, and LLM-based tools. ✨ What ties it together Most freelancers do one of these. I connect them — applying AI and ML to biological and clinical data with statistical discipline, then communicating the findings in publication-ready visuals that both scientists and stakeholders can act on. 🛠️ Tech Stack Python (Pandas, Scikit-learn, TensorFlow, PyTorch) · R (Tidyverse, Bioconductor) · Bash · SQL · Linux · Git · Docker · Cloud 💡 Ready to turn your raw data into discoveries you can trust? Let's talk.

I help research teams and biotech companies turn complex clinical and genomic data into clear, publication-ready insights. With a unique background as a former dentist, I don't just see the numbers; I understand the clinical context behind them. I specialize in designing and executing hypothesis-driven research projects. My work begins with processed genomic or clinical data (e.g., from TCGA, GEO, or your own lab), from which I generate deep biological insights using advanced statistical and machine learning models in R. My Core Services: Bioinformatics & Genomics: Downstream analysis of large-scale datasets (TCGA, GEO), gene expression & RNA-Seq analysis, and biomarker discovery. Clinical Biostatistics: Survival analysis (Kaplan-Meier, Cox Models), clinical trial data analysis, longitudinal studies, and analysis of real-world data (EHR). Machine Learning: Building and validating predictive models in R (tidymodels, caret) to stratify patients or predict clinical outcomes. Data Visualization & Reporting: Creating clear, publication-quality figures (ggplot2) and interactive dashboards (Power BI) that tell a compelling story. If you need a research partner who can handle the entire high-level data analysis portion of your project—from hypothesis to publication—let's connect.

I'm a PhD-level data scientist blending bioinformatics, AI, and software engineering to build smart, scalable solutions for startups in healthcare, biotech, and life sciences. I specialize in: AI-driven drug discovery (LLM-CADD, SMILES gen) Gene & protein analysis (RNA-seq, AlphaFold, UniProt) ML/NLP (scikit-learn, Transformers, BioBERT) Full-stack apps (Flutter, FastAPI, Spring Boot) From raw data to deployable tools, I deliver fast, efficient, and research-backed solutions. Let's build the future of bio-AI together. 📬 Message me to get started.

⭐⭐⭐⭐⭐I am a geneticist and bioinformatics researcher with over 12 years at the National Institute of Oceanography and Fisheries (NIOF), Egypt, currently completing a PhD in genetics and genetic engineering. My work spans wet-lab genetics and end-to-end computational analysis, with a strong focus on reproducible pipelines, scientific rigor, and clear reporting. 🧬On the bioinformatics side, I design and run complete RNA-seq workflows (quality control → alignment → differential expression with DESeq2/edgeR/NOISeq), shotgun metagenomics pipelines (Kraken2, Bracken, HUMAnN, MetaPhlAn), 16S rRNA amplicon analysis (QIIME2, DADA2), and meta-analysis across public datasets. I work fluently in R and Bash/Linux, and I am experienced with HPC environments (SLURM). 🧬Beyond analysis, I write, edit, and proofread scientific manuscripts targeting Q1 journals, conduct structured literature reviews, and support AI training data curation projects. I bring both the scientific depth and the communication skills to take a project from raw data to a publication-ready result. 📌📌Core skills RNA-seq / DESeq2 Shotgun metagenomics QIIME2 / DADA2 Kraken2 / Bracken R (DESeq2, edgeR) HPC / SLURM Scientific writing Literature review Manuscript editing AI data curation Meta-analysis Genetics / PCR 📌📌What I offer: -Full bioinformatics pipelines -RNA-seq, 16S amplicon, shotgun metagenomics — raw FASTQ to publication-ready figures and tables -R statistical analysis -Differential expression, enrichment (GO/KEGG), meta-analysis, heatmaps, volcano plots, Venn diagrams -Scientific writing & editing -Manuscript drafting, revision, proofreading, and journal resubmission support for Q1 target journals -AI data curation -Scientific dataset annotation, labeling, and quality review for AI/ML training pipelines

From an early age, I’ve been driven by a passion to connect the dots between biology, chemistry, and computer science. I discovered that intersection in Bioinformatics, a field that enables me to delve into the depths of the human genome using advanced computational tools and AI. 🔧 Core Skills: - Bioinformatics Software & Pipelines - NGS Data Analysis (WGS, RNA-seq, scRNA-seq) - Multi-Omics Data Integration - Data Visualization & Statistical Analysis - Meta-analysis Techniques - Descriptive Statistics & Linear Models - Proficient in R & Bash Scripting - Microsoft Office Suite - Wet Lab Techniques 🔬+ 💻 = 📊📄 With a strong foundation in both wet lab and computational biology, I specialize in transforming complex biological data into meaningful insights.