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Research software engineer (scientific programmer)

Developing AI and Deep Learning image analysis infrastructure.
  • 20.13.19.TDA
  • 32-36 hours per week
  • Radiologie en Nucleaire Geneeskunde

Job description

You will be working as a member of our research software engineering team and contribute to development and maintenance of IT infrastructure for research in medical image analysis. In particular, you will be responsible for developing an IT infrastructure for the Netherlands Consortium of Dementia Cohorts (NCDC). NCDC aims to better understand the underlying causes for dementia, by harmonizing, sharing and correlating data from 9 large population imaging cohorts in the Netherlands. Your task will be to setup IT infrastructure to facilitate data sharing, computation of quantitative imaging biomarkers, and federated image analysis in the NCDC consortium.

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.

The Biomedical Imaging Group Rotterdam (BIGR) is internationally at the forefront of biomedical imaging and offers a dynamic, challenging, and cooperative research environment. BIGR aims at the development and validation of novel image analysis and artificial intelligence techniques in medical applications. Research in this area strongly relies on state-of-the-art IT infrastructure for data management, high-performance compute (both on CPU and GPU) and software engineering.

Our research software engineering team supports researchers of BIGR on those aspects, and is also involved in several national and international projects aimed at developing best practices and standards in this domain. We are currently looking for a scientific programmer strengthening our research software engineering team.

Qualifications and skills

You should have solid development practices and excellent communication skills. Have a proven background in academics and a talent for technical problem solving. You will be working with a broad range of technologies and you will be given many opportunities to build new skills. We are looking for someone who is capable of quickly adopting new technologies and has a natural tendency to stay up to date with emerging technologies. Being proficient in Python is a huge plus!

Specifically, we are looking for the following qualifications and skills:

*A BSc or Msc in a technical domain, such as physics, electrical engineering or computer science;
*Solid programming experience with Python;
*Experience with Flask, JSON, REST, Docker, Kubernetes, XNAT and HPC environments is a plus; *Experience in a multi-disciplinary academic environment;
*Interest in image analysis using machine learning and artificial intelligence;
*Excellent communication skills in English, both verbally and written.

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 € 4.361,- (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 and application

For more information about this position, please contact Marcel Koek, project lead IT Infrastructure for large scale medical image analysis, phone number: +31 (0)10 704 48 83 or e-mail: For queries regarding your application, please contact Jerry Chandansingh, Recruiter, phone number: +31 (0)10 703 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.

No agencies please.