The Health Data Science group at the Department of Medical Informatics is looking for multiple experienced R programmers to develop open source analytics.

You will be responsible for designing, developing, documenting, and maintaining R code that will be executed against health data that is standardized to the OMOP Common Data Model (OMOP-CDM). This data model is maintained by the Observational Health Data Sciences and Informatics (OHDSI) initiative. The Department is leading the European Health Data and Evidence Network (EHDEN,) project in which a large data network is created with data sources that are mapped to this data model. Your work will enable the use of health data at an unprecedented scale in Europe and will facilitate the execution of impactful studies to improve patient care. We recommend applicants to review the Health Analytics Data-to-Evidence Suite (HADES) developed by OHDSI to get an understanding of the growing set of R packages.

• We are looking for a experienced R programmer with a higher educational background.
• Knowledge of GIT, and software development best practices are required for this position.
• Additional knowledge of Python or C is appreciated. Y
• You are able work independently and have excellent written and verbal English communication skills.
• You are a real team player and are highly motivated to contribute to public health.

• As a software developer you will have a temporary position of 1 year (full-time) with the option for an extension.
• The gross monthly salary starts at € 3.125 (scale 9) and can amount to a maximum of
• € 4.707,- (scale 10), depending on your level of education and relevant experience and based on a full-time working week of 36 hours.
• Excellent fringe benefits, such as a 13th month that is already paid out in November and an individual travel expense package.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

Erasmus MC

Erasmus MC stands for a healthy population and excellence in healthcare. By conducting groundbreaking work, we aim to push boundaries through leading the way in research, education and healthcare. We have access to the latest equipment and techniques in a state-of-the-art environment.

You will work within the Department of Medical Informatics. The department is internationally at the forefront of health data standardization and analysis and offers a dynamic, challenging, and cooperative research environment. The Health Data Science team is responsible for establishing the Coordination Centre for the Data Analysis and Real World Interrogation Network (DARWIN EU®) of the European Medicines Agency that will deliver real-world evidence from across Europe on diseases, populations and the uses and performance of medicines.