Hire the Best Bioinformatics Developers
in Egypt

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 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.

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.

I help clinical researchers, healthcare organizations, and biotech teams analyze clinical, real-world, and genomic data using R and biostatistics. I deliver reproducible analyses, predictive models, clear interpretations, and publication-ready results. I hold a Bachelor’s degree in Oral and Dental Medicine and have professional experience in healthcare analytics and clinical research. This combination helps me understand both the clinical question and the data behind it. I work primarily in R and SQL across clinical research, longitudinal data, Medicare/CMS claims, EHR/EMR data, and public genomic datasets such as TCGA and GEO. MY CORE SERVICES Clinical Biostatistics • Descriptive and inferential statistics • Linear and logistic regression • Survival analysis, Kaplan-Meier estimation, and Cox regression • Mixed-effects models and longitudinal analysis • Propensity-score methods Healthcare and Real-World Data Analytics • Claims, provider, and EHR/EMR analysis • Data cleaning, integration, and quality checks • Geographic, demographic, and socioeconomic analysis • Reproducible workflows using R, SQL, and APIs Predictive Modeling in R • Regression and classification • LASSO and random forests • Feature development and model validation • Clear interpretation of model results and limitations Bioinformatics and Genomic Analysis • Downstream analysis of processed TCGA and GEO data • Gene-expression and biomarker analysis • Survival and pathway-level analysis • Publication-quality visualizations Reporting and Visualization • Reproducible and documented R code • Statistical tables and publication-ready figures • Visualizations using ggplot2 • Power BI and R Shiny dashboards • Technical reports and decision-ready summaries I provide clearly scoped, reproducible analytical work with transparent methods, assumptions, and limitations. If you need reliable statistical support for a clinical, healthcare, or biomedical research project, please feel free to contact me.

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.

Hello! I am Nessma, a highly skilled microbiologist with a BSc in Microbiology and Chemistry. My academic and professional journey has equipped me with profound expertise in a diverse range of research methodologies and tools essential for high-caliber scientific work. Areas of Expertise: -Systematic Reviews & Literature Reviews: Proficient in synthesizing complex research findings to deliver comprehensive analyses. -Literature Searches: Skilled in navigating databases like PubMed, Scopus, Medline, Google Scholar, and Cochrane to uncover relevant academic articles. -Search Strategy Development: Adept at crafting tailored search strategies that minimize noise and maximize relevance. -Screening & Data Extraction: Experienced in meticulously screening papers and extracting pivotal data, ensuring precision in data handling. -Data Annotation & Microbiology: Capable of annotating biological data and applying microbiological knowledge to various research contexts. -Research Analysis: Skilled in the critical analysis of research data, adept at identifying trends, patterns, and drawing meaningful conclusions essential for impactful results. - Project Management: Capable of overseeing research projects from inception to completion, ensuring adherence to methodological rigor and timelines. Tools & Software Proficiency: Systematic Review Software: DistillerSR, Covidence, Rayyan Reference Management: Mendeley, EndNote Data Management: MS Word, Excel, Google Docs Statistical Analysis: RStudio, Revman I bring meticulous attention to detail, rigorous analytical skills, and a commitment to delivering error-free and impactful outcomes. My work is characterized by precision and tailored to meet the specific needs of my clients, ensuring that each project is handled with the utmost professionalism and integrity. Whether you are tackling complex scientific questions or need thorough research support, I am here to assist in pushing your project to the forefront of innovation and accuracy.