Rosario Gago
Senior Software Engineer In Development at Roche
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolRosario Gago is a Senior Software Engineer based in Barcelona with over two decades of experience spanning C++, Python, Perl, Java and systems administration across HP-UX and Linux environments. Currently at Roche, she combines hands‑on development with a deep operational background in middleware (TIBCO) and application servers, enabling reliable delivery in regulated healthcare contexts. Her career includes leadership as IT Manager at a bio-discovery startup where she bridged software engineering and domain needs for life-science projects. Motivated by a long-standing interest in biology, she completed a Master in Bioinformatics and Biostatistics and applies data analysis and machine learning techniques to complement her engineering skillset. Known for strong logical analysis, problem-solving and adaptability, she thrives translating complex requirements into maintainable solutions. Outside of day-to-day roles, her uncommon blend of enterprise systems expertise and formal bioinformatics training makes her a valuable contributor to interdisciplinary projects at the intersection of software and biology.
5 years of coding experience
3 years of employment as a software developer
Ingeniería Técnica en Informática de Gestión (*), Ingeniería Técnica en Informática de Gestión (*) at Universidad de CádizIngeniería en Informática, Ingeniería en Informática at Universidad Nacional de Educación a Distancia - U.N.E.D.Máster universitario de Bioinformática y Bioestadística, Máster universitario de Bioinformática y Bioestadística at Universitat Oberta de Catalunya - Universidad de Barcelona (UB)
Github Skills (12)
modeling9
drug-discovery8
quantile6
tsne5
clustering4
geometric1
interaction1
geometric-deep-learning1
deep-learning1
hierarchical1
siggraph1
surface1
Programming languages (2)
Github contributions (5)
rgago-bio/nbd_central_docs
Dec 2020 - Dec 2020
Documentation NBD Cluster
Contributions:2 PRs, 17 pushes, 2 branches in 1 day
deltanbdclusteringclusterreproducible-science
rgago-bio/masif
Jul 2021 - Sep 2021
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Contributions:16 pushes, 1 branch in 1 month
interactiongeometric-deep-learningdeep-learninghierarchicalmolecular
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