This research project is embedded in a large international attempt focused on early recognition and prevention of cardiovascular disease, using a 'DigitalTwin'. 'MyDigiTwin' is a scientific initiative to develop a platform in which individuals can, for the first time, directly compare their personal health data with big-data reference data available from multiple cohorts, including ± 200,000 national and ± 500,000 international volunteers with long-term follow-up.

The focus of the current project is on big-data validation of existing prediction models of cardiovascular risk, events and potential treatment effects.

You will be involved in data-collection related to cardiovascular disease. Your will analyze the currently existing prediction models for cardiovascular disease and validate these using large-nation wide datasets. Ultimately, you will disseminate the findings through scientific articles and conference presentations.

• You are a highly motivated candidate with a PhD-degree in medicine, biomedical sciences, epidemiology, or a related field.
• Experience with any of the following types of data or research questions would also be a strength: cardiovascular disease; vascular imaging (e.g., CT or MRI); data science; prediction modeling.
• A strong command of English is required; knowledge of Dutch is also mandatory.

The gross monthly salary amounts 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. The terms of employment are in accordance with the Collective Bargaining Agreement for University Medical Centers (CAO UMC).

Erasmus MC

A healthy population and excellence in healthcare through research and education. This is what Erasmus MC stands for. Conducting groundbreaking work, pushing boundaries and leading the way in research, education, and healthcare. We are practical people with a high level of expertise, working hard to improve and renew the healthcare of today and the public health of tomorrow.

The candidate will be a appointed at the Department of Radiology & Nuclear Medicine and will be closely collaborating with the Department of Epidemiology.