Job description

The Health Data Science group at the department of Medical Informatics is looking for an experienced R programmer to develop open-source analytics.

You will be responsible for the creation and execution of study software to support the work of epidemiologists. This will include 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, www.ohdsi.org) initiative. The Department is leading the Data Analysis and Real World Interrogation Network coordination centre (DARWIN EU®) in which a large data network is created with data sources that are mapped to the OMOP-CDM. The aim of this network is to provide fast and reliable evidence to the European Medicines Agency. 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 DARWIN EU ® software packages to get an understanding of the growing set of R packages.

Work environment

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 operations of the Coordination Centre for the Data Analysis and Real World Interrogation Network (DARWIN EU®) of the European Medicines Agency (link) that will deliver real-world evidence from across Europe on diseases, populations and the uses and performance of medicines.

Qualifications and skills

We are looking for an experienced R programmer with a higher educational background, experience with working in health data science is desirable.

• Knowledge of GIT, and software development best practices are required for this position.
• Additional knowledge of Python or C is appreciated.
• You can 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.
• Being able to present a certificate of good conduct, valid proof of identity, and diplomas are conditions for the appointment.

Before you apply please check our conditions for employment.

Terms of employment

• You will receive a temporary position for 2 years.
• The gross monthly salary amounts a maximum of € 5.010,- (scale 9), depending on your level of education and relevant experience, based on a fulltime working week of 36 hours.
• Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
• An International Office which aids you in preparing for you arrival and stay.
• 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.

More information

For more information about this position, please contact Ilse Schuemie, personal assistant and secretary, via +31 10 704 30 50 or vacancies.mi@erasmusmc.nl.

No agencies please.