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Postdoc in Health Data Science

  • 18.01.19.TG
  • 36 hours per week
  • Medische Informatica

Job description

The Department of Medical Informatics (Erasmus MC) is looking for two 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) and eTransafe projects, 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.

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.

Our institute is internationally at the forefront of medical data science and biostatistics and offers a dynamic, challenging, and cooperative research environment. The Department of Medical Informatics at Erasmus MC is specialized in using routine healthcare data. Currently the department is coordinating and collaborating in several projects that aim at building EU-wide and global federated data networks.

Qualifications and skills

For the Postdoc positions, we are looking for candidates with a PhD degree. Candidates must have a strong background in biomedical informatics, bioinformatics, computer science, data analytics, or (bio)statistics. Proven expertise in machine learning and programming is required. The candidates must be able to drive their research agenda. In addition, candidates should be able to work independently and supervise projects/PhD students where needed. Good written and verbal communication skills are required.

Being able to present a certificate of good conduct, a valid proof of identity, diploma's and/ or relevant registration such as BIG/ RGS are conditions for the appointment.

Terms of employment

The gross monthly salary amounts a maximum of € 5.086,- (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 this position, please contact Dr. Peter Rijnbeek, project leader, phone number: +31 (0)10 704 30 50. See also www.healthdatascience.nl. For queries regarding your application, please contact Jerry Chandansingh, recruiter, phone number: +31 (010 703 18 92.

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.

Your application should include a curriculum vitae, a motivation for your application, a research agenda and a list of publications. We would welcome recommendation letters.

No agencies please.