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The Health Data Science group is growing and we have open positions for PostDocs (2), PhD (6), and Master Students

We are always open for collaborations with Academia and Industry, do not hestitate to discuss the opportunities with us.

Contact us for more information 

Open PostDoc Positions (2): 

Job description
The Department of Medical Informatics (Erasmus MC) is looking for 2 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 (www.ohdsi.org), and the EU-sponsored European Health Data and Evidence Network (EHDEN) (www.ehden.eu) and eTransafe (http://www.etransafe.eu/) 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
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.

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.


Terms of employment
As a Postdoc you will have a temporary position of one year (full-time) with a possible extension to two years.
The gross monthly salary amounts a maximum of € 5040,- (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
For more information about these positions, please contact dr. Peter Rijnbeek, project leader, phone number: +31 (0) 10-704 3050 or e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. See also www.healthdatascience.nl

Application
Applications should include a curriculum vitae, a motivation for your application, a research agenda, and a list of publications. We would welcome recommendation letters. You can email your application to This email address is being protected from spambots. You need JavaScript enabled to view it..

Open PhD Positions (6):

We currently have 6 PhD positions available on the Health Data Science topic.

Job description
The Department of Medical Informatics (Erasmus MC) is looking for six PhD students 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 (www.ohdsi.org), and the EU-sponsored European Health Data and Evidence Network (EHDEN) (www.ehden.eu) and eTransafe (http://www.etransafe.eu/) projects, which develop frameworks to generate reliable real-world evidence.

The PhD students will be responsible for the development and application of novel methods and techniques on data from large Electronic Health Record databases. Research will be performed in natural language processing, feature engineering methods, deep-learning, and other advanced machine-learning methods to support personalized medicine. The PhD students will have the opportunity to develop predictive models and perform validation studies at an unprecedented global scale through the standardization of health data to the OMOP Common Data Model. Impact assessments of these new approaches on patient care are part of the research agenda.

Work environment
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.

Our institute is internationally at the forefront of health data science 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. The advisors for the PhD students will include Dr. Peter Rijnbeek, Dr. Jan Kors, Dr. Katia Verhamme, and Prof. Johan van der Lei. 

Qualifications and skills
Candidates must have a background in biomedical informatics, bioinformatics, computer science, data analytics, or (bio)statistics. Interest in data and/or text mining, machine learning, regression analysis and programming is required. 

Furthermore, we invite candidates who are working in the regulatory domain or are interested in applying health data science in their clinical setting, to propose research topics. These candidates preferably have a medical background.

The candidates must be highly motivated, willing to learn and demonstrate initiative in assigned tasks. Good written and verbal communication skills are desired for this international project.

Terms of employment
As a PhD student you will have a temporary position of two years (full-time) with a possible extension to four years.
The gross monthly salary amounts a maximum of € 4321,- (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).

Information
For more information about these positions, please contact Dr. Peter Rijnbeek, project leader, phone number: +31 (0) 10-704 3050 or e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.. See also www.healthdatascience.nl

Application
Applications should include a curriculum vitae, a motivation for your application, a description of research interests and a list of followed courses and grades. You can email your application to This email address is being protected from spambots. You need JavaScript enabled to view it..

 

 
 

Open Positions MSc students.

We invite in the area of biomedical informatics, bioinformatics, computer science, data analytics, or (bio)statistics  to contact us for possibilities for a project for your Master's Thesis.  The candidate must be highly motivated, willing to learn and demonstrate initiative in assigned tasks. Good written and verbal communication skills are desired.