Sergio Carmona
Data Analyst
Lucerne, Lucerne, Switzerland
Summary
👤
Senior🎓
Top SchoolSergio Carmona is a clinical data analyst with 12 years of research and bioinformatics experience, combining a PhD in bioinformatics and postdoctoral work in epigenetics with hands-on analytics in healthcare settings. He excels at extracting Epic EMR data with SQL and turning complex clinical signals into actionable visualizations using R and Power BI, having supported decision-making at Murdoch Children’s Research Institute and the Royal Children’s Hospital. His background as a structural biology-focused researcher and senior bioinformatician at the Baker Institute gives him a rare fluency in both molecular-level questions and population-scale clinical data. Comfortable in agile, highly collaborative teams, he also freelances and recently expanded his skill set into UX/UI design through postgraduate study, which enhances his ability to present data for diverse stakeholders. Based in Lucerne, Switzerland, he brings a problem-driven, research-grade rigor to improving healthcare outcomes through data.
12 years of coding experience
9 years of employment as a software developer
Postgraduate Degree, Web Page, Digital/Multimedia and Information Resources Design, UX/UI Interface Design, Postgraduate Degree, Web Page, Digital/Multimedia and Information Resources Design, UX/UI Interface Design at RMIT OnlineBiotecnologia, Biotecnologia at Universitat Autònoma de BarcelonaMSc Bioinformatics for Health Sciences, MSc Bioinformatics for Health Sciences at Universitat Pompeu FabraPhD Student, Bioinformatics, and Computational Biology, PhD Student, Bioinformatics, and Computational Biology at Universitat de Barcelona
Spanish, Catalan, English, French, Chinese
Github Skills (24)
docking10
drug-discovery10
virtual-screening10
azure-sdk-r9
crowd7
atlassian7
wrapper7
sharepoint-online7
microsoft-graph-api6
jira6
r6
rest5
api5
confluence5
bamboo5
Programming languages (4)
Github contributions (5)
sruizcarmona/trainingpeaks
Nov 2020 - Apr 2025
Contributions:26 pushes, 2 branches in 4 years 6 months
CBDD/rDock
Nov 2013 - Sep 2022
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies.
Contributions:1 release, 25 commits, 1 PR in 8 years 11 months
virtual-screeningdockingdrug-discovery
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