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Due to the COVID-virus and the efforts this requires from Erasmus MC, it may take longer to inform you regarding your candidacy. We apologize for the inconvenience.

Postdoc on the topic of Large-Scale Analysis of Electronic Medical Records using Machine Learning

  • Research & Education
  • 36 hours
  • Medical Informatics

  • Closing date 07-04-2020
  • 11.03.20.TG

Job description

The Department of Medical Informatics is looking for 1 Postdoc 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 Postdoc 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.

Work environment

Our institute is internationally at the forefront of medical data science and biostatistics and offers a dynamic, challenging, and cooperative research environment. Erasmus MC has a strong data science vision and focus. The Department of Medical Informatics at Erasmus MC is specialized in using routine healthcare data and applies Health Data Science on this data at a large scale. Currently the department is coordinating and collaborating in several projects that aim at building EU-wide and global federated data networks, such as the EHDEN Data Network. The Postdoc will be embedded in the Health Data Science group, led by dr. Peter Rijnbeek.

Qualifications and skills

For the Postdoc position, we are looking for candidates with a PhD degree. Candidates must have a strong background in Biomedical Informatics, Bioinformatics, Computer Sience, Data Aalytics, or (Bio)statistics. Proven expertise in machine learning and programming is required. The Postdoc should have a strong vision and motivation and must be able to drive their own research agenda. Candidates should be able to work independently and supervise projects/PhD students where needed. Good written and verbal communication skills are required.

Before you apply please check our conditions for employment.

Terms of employment

We offer a temporary position of one year (full-time) with a possible extension. The gross monthly salary amounts a maximum of € 5.26,- (scale 11), 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).

Information and application

For more information about these positions, please contact dr. Peter Rijnbeek, Poject leader, phone number: +31 (0)10 04 3050 or e-mail: For queries regarding your application, please contact Jerry Chandansingh, Recruiter, by phone number: +31 (0)6 500 310 06.

If you are excited by the thought of this position and would like to apply, please do so by using the application form on our website. Applications should include a curriculum vitae, a motivation for your application, a research agenda containing a list of research topics, and a list of publications. We would welcome recommendation letters.

No agencies please.

Erasmus MC

Pioneering, pushing boundaries and leading: in healthcare, education and research

Our roots lie in Rotterdam, a city and port of international standing. We are the most innovative university medical center in the Netherlands and one of the world’s leading centers of scientific research. With passion and dedication we are committed to achieve a healthy population and pursuing excellence in healthcare through research and teaching. We have access to the latest equipment and techniques. A working environment that gets the best out of people.

Learn more about our ambitions