Mustafa Oguz
Director HTA Health Economic Modelling at Johnson & Johnson Innovative Medicine
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolMustafa Oguz is Director of HTA Health Economic Modelling at Johnson & Johnson with a decade of experience applying statistics, modelling and simulation to inform market access and real-world evidence decisions. He combines hands-on analytical delivery—designing epidemiological studies, authoring statistical analysis plans and executing complex analyses—with client-facing project leadership and team supervision. Comfortable across Python, R and Excel-VBA, he has worked with diverse data types from accelerometer readings to social media and network data, bringing unconventional data sources into health economic insights. His background spans industry and policy research, including a PhD-focused fellowship at Pardee RAND and analytic roles at RAND Corporation, which underpin a rigorous, policy-aware approach to modelling. Colleagues rely on him to translate technical complexity into actionable value for payers and stakeholders while maintaining methodological transparency. Based in London, he blends academic depth with commercial delivery to drive evidence that shapes reimbursement and access decisions.
10 years of coding experience
8 years of employment as a software developer
Nisantasi Anadolu LisesiB.A., International Relations, B.A., International Relations at University of GalatasarayDoctor of Philosophy (Ph.D.), Policy Analysis, Doctor of Philosophy (Ph.D.), Policy Analysis at Pardee RAND Graduate SchoolM.Sc., International Relations, M.Sc., International Relations at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish, French
Github Skills (6)
survival-analysis9
activity-tracker5
health3
datasets2
accelerometer2
machine-learning2
Programming languages (2)
Github contributions (5)
MustafaOguz/Survival_Analysis
Oct 2015 - May 2018
Survival Analysis with non-parametric, semi-parametric, and parametric models
Contributions:20 commits, 19 pushes, 1 branch in 2 years 7 months
survival-analysis
MustafaOguz/Machine-Learning
Aug 2016 - Feb 2017
Contributions:19 pushes, 1 branch in 5 months
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