I will do bioinformatics analysis of rna seq single cell and tcga data

Bioinformatics engineer with 6 years in cancer genomics and 130+ remote projects delivered since 2023 for labs, hospitals and biotech.

What I analyse

- Bulk RNA-seq: QC, differential expression (DESeq2, limma), GO/KEGG/GSEA enrichment, WGCNA

- Single-cell RNA-seq: Seurat or scanpy clustering, annotation, trajectory, cell-cell communication

- TCGA/GEO/CCLE public data: prognostic signatures, Cox and nomogram, immune infiltration

- Proteomics, DNA methylation, WES/WGS variants, 16S and metagenomics, GWAS/PRS, multi-omics

- Machine-learning biomarker models (LASSO, random forest, XGBoost) with external validation

What you get

- Publication-ready figures (volcano, heatmap, UMAP, KM curve, forest plot, enrichment plots) in a consistent journal style

- Result tables and reproducible R/Python scripts

- A methods and results write-up you can paste into a manuscript, plus help with reviewer questions

How it works

Send your data type, sample layout and the question. I reply within 24 hours with a scope and fixed price, deliver on time and keep your data confidential (NDA welcome).

Analyses I built are published in eLife 2026 and Plant Biotechnology Journal.