Health Data Science Group
The mission of the Health Data Science group is to produce clinically actionable insights from observational health data by enabling data-driven healthcare. Improved interoperability of data is a necessary pre-requisite for this mission.
Health Data Science
The Health Data Science group develops analytical methods and tools for observational health data, with interoperability as a core requirement.
The mission of the Health Data Science group is to produce clinically actionable insights from observational health data by enabling data-driven healthcare. Improved interoperability of data is a necessary pre-requisite for this mission.
Read MoreWe perform methodological research in clinical characterisation, population-level effect estimation, and prediction modelling. We develop open-source analytical tools that can be applied on the OMOP Common Data Model.
Read MoreWe believe more education for young health data scientists, medical students, and healthcare professional, is needed to train them in the opportunities and limitations of big data in healthcare.
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Are you looking for an impactful project for your Master's thesis? We currently have open positions for Master Students to undertake a graduation project within our department. Projects mostly focus on developing novel AI/ML methods using data from Dutch primary care; example projects can be found here . What we are looking for: Candidates with a strong quantitative background who are highly motivated, eager to learn, and demonstrate initiative in their work. Strong written and verbal communication skills are...
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The Erasmus MC Health Data Science team will be well represented at the OHDSI Global Symposium 2026 in New Brunswick, New Jersey , with colleagues contributing to the...
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Attending the ICPE 2026 Annual Meeting was a great opportunity to take part in meaningful discussions on the role of pharmacoepidemiology in advancing patient health...
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