Jeremy Vinhas

I design, deploy, and maintain reproducible analysis pipelines to transform complex data into actionable results.

I worked at the Institute of Human Genetics (IGH) in Montpellier, where I was responsible for creating and maintaining pipelines for different types of NGS data: RNA-seq, ChIP-seq, ATAC-seq, and Cut & Run. My role covered the entire analysis workflow, from processing FASTQ files to generating matrices, visualizations, and reports for research teams. I also completed an internship focused on setting up Bulk RNA-seq analysis pipelines, including the automation of quality control, alignment, quantification, and differential analysis steps.

I am proficient in several programming languages, including R, Python, and C++, which I use for data processing, statistical analysis, and custom tool development. I also rely on workflow orchestration technologies like Snakemake to automate analyses, ensure their reproducibility, and validate results, both in Linux environments and on HPC infrastructures.

My added value lies in my ability to structure and industrialize bioinformatics analyses. I transform processes often performed ad-hoc or manually into robust, automated, and reproducible workflows. My approach combines technical rigor, understanding of biological issues, and attention to transferability: I design documented and easily reusable pipelines for teams. This global vision, from raw data to interpretation, allows me to secure analyses, optimize processing times, and enhance the scientific reliability of the produced results.