Summary
Raony Guimarães is a seasoned bioinformatician and web developer with 12 years of experience applying Python, R and C++ to large-scale human genome and exome projects and precision medicine pipelines. He has led high-throughput analyses at Genuity Science (50k WGS and 80k genotypes) and builds production-grade bioinformatics tooling and web apps, combining databases like PostgreSQL/MongoDB with Django-driven interfaces. Comfortable across Linux distributions and cloud-parallel workflows, he routinely integrates tools such as GATK, cnvkit and bcbio-nextgen to deliver reproducible, clinically relevant results. His background spans academic research—developing annotation and visualization systems for clinical exomes—to commercial roles translating genomic discoveries into healthcare solutions at M42 Health and Genseq. Known for producing thousands of dimensionality-reduction analyses (UMAP/PCA/t-SNE) and scalable pipelines, he pairs statistical rigor and machine learning with practical software engineering. Based in Dublin, he brings a rare mix of deep genomics domain expertise and full-stack development experience that accelerates genomics-to-clinic translation.
12 years of coding experience
14 years of employment as a software developer
High School, High School at Colégio Lúdico - Conchas
Bachelor Biomedical Informatics, Bachelor Biomedical Informatics at USP - Universidade de São Paulo
Doctor of Philosophy (Ph.D.) Bioinformatics Exome Analysis Annotation Tools and Web Development, Doctor of Philosophy (Ph.D.) Bioinformatics Exome Analysis Annotation Tools and Web Development at Universidade Federal de Minas Gerais
Portuguese, English, Polish, Dutch