Research Software Engineer / Scientific Programmer

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 participating in developing an IT infrastructure and meta-data models in the European Population Imaging Infrastructure (Euro-BioImaging Node) for the EuCanImage project.

EuCanImage is a Horizon 2020 project funded by the European Commission (10M Euro) to build a secure and federated imaging platform for next-generation artificial intelligence and precision medicine in oncology. The cancer imaging platform will be built by leveraging the European Population Imaging Infrastructure, cross-linked to biological and health repositories through the European Genome-phenome Archive, allowing to develop multi-scale AI solutions that integrate organ-level, molecular and other clinical predictors into dense patient-specific cancer fingerprints. EuCanImage is a collaboration between world-renown experts in image data management, machine learning, cancer imaging/radiomics, clinical oncology and technology transfer, across Europe and the US.

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.

The Biomedical Imaging Group Rotterdam (BIGR) is part of the Department of Radiology & Nuclear Medicine of the Erasmus MC, University Medical Center Rotterdam. It 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 and Radiology on those aspects, and is involved in numerous national and international projects aimed at developing infrastructure, best practices and standards in this domain. We are currently looking for a Research Software Engineer strengthening our research IT infrastructure team.

Qualifications and skills

You should have solid development practices, excellent communication skills, a proven academic background, 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.

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

• A MSc or PhD in a technical domain, such as physics, electrical engineering or computer science;
• Solid programming experience with Python is required;
• Experience with Flask, REST API’s and Containers is a plus;
• Experience with meta-data and data models is a plus;
• Experience in a multi-disciplinary academic environment;
• Experience with medical image analysis, deep learning, and federated/distributed learning is a plus;
• Excellent communication skills in English, both verbally and written.

Before you apply please check our conditions for employment.

Terms of employment

• The gross monthly salary amounts a maximum of € 5.008,- (scale 10) depending on your level of education and relevant experience and based on a full-time working week of 36 hours.
• A 4% Collective Labour Agreement payraise starting November 2023.
• Excellent fringe benefits, such as a 13th month that is already paid out in November and a induvidual travel expense package.
• Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
• Special benefits, such as a incompany physiotherapist and bicycle repairer. And there is also a sports club where you can work on your fitness after work.

More information

For more information about this position, please contact Marcel Koek, Project leader IT Infrastructure for large scale medical image analysis, phone number: +31(0)10 704 48 83.

No agencies please.