Mohammad Waqas S.

I lead a bioinformatics team specializing in bioinformatics analysis, biostatistics, machine learning, scientific writing, and technical documentation. I remain your main point of contact and personally oversee project design, quality control, interpretation, and delivery. I help researchers, graduate students, clinicians, and biotechnology teams turn genomic, clinical, experimental, and literature data into reproducible analyses and publication-ready research outputs. My work combines bioinformatics, genomics, biostatistics, statistical analysis, data analysis, machine learning, and scientific and medical writing using Python, R/RStudio, IBM SPSS, and Stata. I connect the technical analysis to the biological or clinical question. Every project is documented clearly, with methods, assumptions, limitations, figures, and conclusions that can be reviewed and reproduced. BIOINFORMATICS, GENOMICS & OMICS • Bulk RNA-seq and GEO microarray reanalysis • RNA-seq quality control, normalization, and differential gene expression • Exploratory single-cell RNA-seq analysis using Scanpy • NGS, genomic data, sequence analysis, and multi-omics support • TCGA expression and clinical-data integration for cancer genomics • Biomarker discovery, target discovery, and biological interpretation • GO, KEGG, Reactome, pathway enrichment, over-representation analysis, and GSEA • Survival analysis, ROC/AUC, and biomarker validation • PCA, clustering, heatmaps, volcano plots, and publication-ready visualization • Reproducible workflows using Python, R, Linux, Docker, and Nextflow • DESeq2, edgeR, limma, Bioconductor, GEOquery, TCGAbiolinks, clusterProfiler, and Scanpy BIOSTATISTICS, CLINICAL DATA & MACHINE LEARNING • Data cleaning, exploratory data analysis, missing-data assessment, and hypothesis testing • Descriptive statistics, effect sizes, confidence intervals, and statistical interpretation • Linear and logistic regression, classification, feature selection, and cross-validation • Survival analysis, predictive modelling, ROC/AUC, and model evaluation • Statistical analysis of biological, clinical, experimental, and survey datasets • Analysis in R/RStudio, Python, IBM SPSS, or Stata • Reproducible reports, dashboards, tables, and data visualization • Clear reporting of uncertainty, assumptions, limitations, and potential confounding RESEARCH, SCIENTIFIC & MEDICAL WRITING • Research-question development, study design, research methods, and methodology support • Scientific literature reviews, narrative reviews, scoping reviews, and evidence synthesis • Systematic reviews following PRISMA, including search strategy, screening, data extraction, and risk-of-bias assessment • Meta-analysis support using R packages such as meta and metafor, or RevMan • Research-paper writing and manuscript development for introductions, methods, results, and discussions • Scientific writing, medical writing, academic writing, and research reports • Academic editing, proofreading, structural editing, and clarity improvement • Thesis and dissertation research support • Research proposals, protocols, evidence tables, graphical summaries, and publication-ready figures • Journal formatting, references and citations, and reference-management support • Responses to reviewers and manuscript revision after peer review I provide ethical, source-grounded research support. I do not fabricate data, results, references, or conclusions. Interpretations remain traceable to the supplied data and peer-reviewed literature. SCIENTIFIC AI, SMALL DATA & TECHNICAL DOCUMENTATION • Citation-grounded RAG systems for biotechnology and scientific literature • LLM-assisted information extraction and question answering for research documents • Focused Python and R projects involving cleaning, statistics, regression, classification, and visualization • Tested tutorials, user manuals, setup guides, and technical documentation for Python, Linux, databases, cloud servers, developer tools, and AI workflows • Published technical author with 14 credited Hostman guides WHAT YOU RECEIVE • Reproducible Python or R code • Clean, organized datasets and analysis outputs • Publication-ready figures, tables, and reports • Biological, clinical, and statistical interpretation • Clear methods and results documentation • Transparent conclusions supported by evidence I am a Top Rated freelancer with a 100% Job Success Score, $10K+ earned, and 44 completed Upwork contracts. I hold a BS in Biotechnology and have worked as a Bioinformatics & Genomics Research Assistant. My relevant work includes gene-expression analysis, genomics research, clinical data analysis, statistical modelling, scientific writing, technical documentation, and scientific AI systems. Send me your research question, dataset or writing brief, target journal or audience, required outputs, and deadline. I will assess feasibility and recommend an appropriate workflow before we begin.