
Machine learning techniques are quickly becoming indispensable in medical and scientific imaging because of their often unmatched speed and accuracy, and because of the increasing amount of data that need to be analyzed and interpreted. Despite the recent improvements, however, these techniques still pose a considerable technical challenge and a steep learning curve to non-expert users.
As software developer/engineer by training you will repurpose, develop and implement advanced machine learning algorithms and pipelines for scientific and medical image analysis. The pipelines will be deployed to an open-source and open-access, cloud-based platform, with the major goal of providing straightforward access to image analysis capacity, based on reusable machine-learning algorithms, to non-expert scientists and medical specialists worldwide. There is a considerable chance for extension of the project beyond 24 months in case of excellent performance.
You are a software developer/engineer with a MSc degree in computer sciences and have demonstrable practical experience in areas. The ideal candidate will be an independent quick learner, at home with Python/R/Matlab, image analysis, and in possession of practical skills in full-stack web development (Python, Javascript, UI design, databases). In this role, you will maintain contact with both internal and external customers. We therefore consider it important that you can documented fluency in English, have great communication skills (or are willing to develop this skills).
You will join the Department of Medical Biology, Amsterdam UMC, location AMC, and will be embedded in the Cellular Imaging Core Facility – a large microscopy facility with more than 500 users and access to state-of-the-art imaging technologies, datasets and scientifically-relevant questions. The project will be directly supervised by Dr. Ron Hoebe, microscopy and software development expert, but it is a joint venture of multiple Dutch imaging and microscopy centers. The candidate will, therefore, work together with experts in various areas of advanced microscopy and data sciences.
For more information about the position or the project please contact Przemek Krawczyk via p.krawczyk@amsterdamumc.nl.
For more information about the application process please contact Brend de Jong, Recruitment adviser, via b.dejong2@amsterdamumc.nl or via 020 444 8704.
We will review applications on an ongoing basis and would therefore advise you not to wait too long before applying.
A reference check, screening and hiring test may be part of the procedure. Read hier whether this also applies to you.
If you join us, we ask for a VOG (Certificate of Good Conduct).