Antonio Remiro-azócar
Principal Scientist at Novo Nordisk
Madrid, Community of Madrid, Spain
Summary
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Senior🎓
Top SchoolAntonio Remiro-azócar is a Principal Scientist at Novo Nordisk and an Honorary Research Fellow at UCL, specializing in quantitative evidence synthesis, data fusion, HTA and observational science. He develops novel statistical and causal inference methods to combine evidence across trials, real-world data and external control arms, and translates those methods into regulatory and commercial decision-making. With a PhD in Statistical Science and master’s degrees in Machine Learning and Financial Computing from UCL, he brings eight years of cross-sector experience including leadership roles at Bayer and consultancy for IQVIA, ICON and SickKids. Antonio is known for bridging rigorous methodology with practical impact—mentoring teams, establishing academic-industrial collaborations, and representing industry in international working groups. An accomplished communicator, he routinely trains stakeholders and authors scientific publications while pursuing research on estimands and covariate adjustment that inform real-world evidence strategies.
8 years of coding experience
3 years of employment as a software developer
BSc Mathematics and Physics, BSc Mathematics and Physics at University of BathGrado Medio Piano Performance, Grado Medio Piano Performance at Katarina Gurska Educación Musical y FundaciónUniversity College London
English, Spanish, French
Github Skills (4)
simulation7
bayesian-inference1
r-package1
r1
Programming languages (2)
Github contributions (5)
remiroazocar/population_adjustment_simstudy
Apr 2020 - Oct 2022
R code used for paper "Methods for population adjustment with limited access to individual patient data: a review and simulation study"
Contributions:30 commits, 1 PR, 28 pushes in 2 years 5 months
simulation
remiroazocar/remiroazocar.github.io
May 2018 - Apr 2024
Contributions:272 pushes, 1 branch in 5 years 11 months
jekyll-blogjekylljekyll-thememinutes
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