I help biotech companies, pharma teams, and research institutions turn complex genomic and multi-omics data into clear, publication-ready insights — on time and with full reproducibility. What I specialize in: \- Bulk RNA\-seq & single\-cell RNA\-seq \(scRNA\-seq\) analysis \- Spatial transcriptomics \(Visium\) \- DNA methylation\, metabolomics & microbiome data \- Differential gene expression & splicing analysis \- Pathway & gene set enrichment analysis \(GSEA\) \- Network analysis & pseudotime inference \- Dimensionality reduction & unsupervised clustering \- Multi\-omics data integration \(single\-cell\, spatial\, immune repertoire\, clinical metadata\) Tools & Stack: R/Bioconductor and Python — with a strong focus on clean, well-documented, reproducible pipelines and publication-quality figures. How I work: I adapt to data quality issues, complex experimental designs, and tight timelines. Every deliverable includes clear documentation so your team can build on the results. I hold a 100% Job Success Score and Top Rated status on Upwork. Send me a message describing your dataset and your goal — I will tell you honestly whether and how I can help.