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At Erasmus MC’s Health Data Science group, you’ll help shape the future of healthcare by developing open-source analytics that support large-scale epidemiological research. You’ll work with health data standardized to the OMOP Common Data Model (OMOP-CDM), enabling studies across Europe through the DARWIN EU® network an initiative coordinated by Erasmus MC on behalf of the European Medicines Agency.
Your work will directly support researchers and regulators in generating real-world evidence to improve patient care. You’ll collaborate with experts in epidemiology, data science, and software engineering, and contribute to a growing ecosystem of R packages that make health data analysis faster, more reliable, and reproducible.
Your Responsibilities Include
- Developing and maintaining R packages for executing studies on OMOP-CDM formatted health data.
 - Translating epidemiological study designs into executable software.
 - Collaborating within the OHDSI community and contributing to open-source tools.
 - Supporting the DARWIN EU® Coordination Centre by building scalable, reusable analytics.
 - Applying software development best practices, including version control (GIT), documentation, and testing.
 
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