Madrid, Community of Madrid, Spain
I am a Principal Scientist within the External Collaboration and Experimentation (Experimental and Translational Medicine) area at Novo Nordisk. My expertise lies in quantitative evidence synthesis, data fusion, HTA and observational science, and in driving external engagement and collaboration. I am currently developing innovative statistical and causal inference methods for evidence generation. Related interests are covariate adjustment, estimands, external control arms and real-world data. From December 2025, I have joined the Department of Statistical Science at University College London as an Honorary Research Fellow. I have ample experience as a statistician, researcher and statistical consultant, providing support to the pharmaceutical, biotechnology, and healthcare consultancy sectors. Prior to my current role, I was a statistical methodologist at Novo Nordisk and the lead statistician for health technology assessment at Bayer Pharmaceuticals. Prior to that, I was an independent contractor providing statistical support to contract research organizations such as IQVIA and ICON plc, and public bodies such as SickKids. I hold a PhD in Statistical Science and master's degrees in Machine Learning and Financial Computing from University College London, and an undergraduate degree in Mathematics and Physics from the University of Bath. My full CV: https://remiroazocar.netlify.app/uploads/remiroazocar_CV.pdf Links: https://remiroazocar.netlify.app (remiro-azocar.com) https://scholar.google.co.uk/citations?user=B1kFX0MAAAAJ&hl=en https://orcid.org/0000-0002-2877-2315
Expert in methodology for quantitative evidence synthesis, data fusion, HTA and observational science Development of innovative statistical and causal inference methodology for evidence generation Knowledge-sharing, training and mentoring in statistical methodology, in general and in relation to clinical projects Cross-functional interactions with upper management and stakeholders to explain the added value generated by new methodologies Establishment of external research collaborations and engagement with academia, scientists, regulators and policy-makers Representation of Novo Nordisk internationally at relevant cross-industry working groups and conferences Driving initiation of industrial master thesis/PhD/post-doc collaborations as well as scientific publications
Based at the Department of Statistical Science. Collaboration on methodological research in statistics, scientific publications and supervision of industrial master thesis/PhD/post-doc projects.
Medical Affairs Statistics: HTA, HEOR, observational science, RWD Leadership of global cross-functional teams in providing inputs to life-cycle management strategies, publication plans, reimbursement requirements, HTA studies and analyses for payers, across several therapeutic areas
ST211 Applied Regression, ST201 Statistical Models and Data Analysis
Child Health Evaluative Sciences