The Department of Medical Informatics (Erasmus MC) is looking for Postdocs to work on cutting-edge health data science topics. This research will be performed in close collaboration with the Observational Health Data Sciences and Informatics (OHDSI)
initiative, which is a global, multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics, and the EU-sponsored European Health Data and Evidence Network (EHDEN)
which develop frameworks to generate reliable real-world evidence.
The Postdocs will be responsible for the development and application of novel methods and techniques on data from large Electronic Health Record databases standardized to the OMOP Common Data Model. Research will be performed in natural language processing, feature engineering methods, deep-learning, and other advanced machine-learning methods to support personalized medicine. The Postdoc will not be involved in image analysis and analysis of genetic data in this project.