Summary
Juan Martínez is a clinical imaging data scientist with nine years’ experience applying biostatistics, bioinformatics and AI/ML to oncology research, most recently leading medical performance analytics at Johnson & Johnson after a pivotal associate director role at GSK. He designs and ships production-grade pipelines and analytics—authoring the EQUIP Python tool, a Tumor Growth Kinetics pipeline and an RShiny MBMA app—that improved endpoints accuracy and enabled reuse of legacy imaging for radiomics and modelling. Comfortable as a product owner and data steward, he combines dashboarding, data ingestion/archiving and change management to align global medical teams and accelerate decision-making. Trained in chemistry and holding an MSc in Bioinformatics & Biostatistics, he pairs deep domain expertise with practical automation skills (Power Platform, SQL, VBA) and a track record of converting messy clinical imaging into auditable, analysis-ready datasets. Notably, he has repeatedly translated regulatory and CRO constraints into scalable technical solutions that increased data quality and study insight.
9 years of coding experience
7 years of employment as a software developer
UOC (Universitat Oberta de Catalunya)
University of Seville
Msc Bioinformatics & Biostatistics Bioinformatics, Msc Bioinformatics & Biostatistics Bioinformatics at Universitat de Barcelona
English, Spanish