Scientific programmer AI for imaging data

Updated: 12 months ago
Deadline: 21 May 2023

Scientific programmer AI for imaging data
Scientific programmer AI for imaging data
Published Deadline Location
yesterday 21 May Nijmegen

Job description
Join our team at Radboudumc and help us revolutionize healthcare with innovative Artificial Intelligence (AI)-based diagnostic, prognostic and predictive models! With a strong track record in developing cutting-edge AI technologies within departments of Radiology, Pathology and the Donders Institute, we are dedicated to advancing various medical fields and making healthcare more efficient, effective and person-centered.
As a scientific programmer, you will work alongside existing teams of scientists and developers to further develop, expand, automate and implement these innovative AI models. Using our already established infrastructure, you will collaborate with clinicians from various departments to bring these technologies to the forefront of patient care. You'll have the opportunity to contribute to education in the new Medical Data Science master's degree and provide digital skills and coaching for all students.
This is an exciting opportunity to join a dynamic team of innovators and contribute to the future of healthcare!
Please upload a motivation letter, your curriculum vitae and the sectorplan application form  that applies to your position. This form will guide you through some questions that are relevant for the selection
Specifications
  • 32—36 hours per week
  • €4325—€5919 per month
  • Nijmegen View on Google Maps

Radboud University Medical Center (Radboudumc)


Requirements
We are looking for a self-motivated research software engineer with an interest in medical imaging and excellent communication skills in English. You should have an MSc or PhD degree in Computer Science, Physics, Biomedical Engineering or another technical field or equivalent practical experience.
Moreover, you should:
  • Be able to work autonomously, analysing complex business requirements, designing and implementing sustainable solutions for health(care) problems, taking into account security and operational restrictions.
  • Have experience working in a remote asynchronous-first team, using written communication to clearly and effectively express your ideas.
  • Have experience with developing open-source, scientific software that is used by others.
  • Be familiar with Medical Imaging, DICOM, and AI applied to this domain.
  • Have experience of working in a devops environment using an agile development process.
  • Be familiar with web technologies having developed for, and/or operated, a web application for thousands of users. Specifically you should have deep expertise in:
    • (Operations Engineer) managing infrastructure with terraform, architecting applications on AWS, operating cloud native applications, CI/CD, containers, orchestration, networking, performance, reliability and security.
    • (Backend Engineer) python, Django, htmx, containers, postgres, AWS Services including SageMaker, S3 and ECS Fargate.
    • (Frontend Engineer) python, javascript, MeVisLab, VueJS, websockets.
  • Be capable of directing small teams of Software Engineers and PhD Students on bound projects.
  • Have experience training more junior members of the team, supporting users and disseminating your knowledge.
  • Have experience working with academics and clinicians to define the direction of the product and contributing to grant applications to acquire funding for the team.

Conditions of employment
Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together.
  • A gross monthly salary between € 4.325 and € 5.919 (scale 11) based on full-time employment. 
  • From 1 November 2023 the wages will increase by 4%.
  • An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
  • If you work irregular hours, you will receive an allowance.
  • As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
  • Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
  • You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
  • We provide annual courses, both professional and personal.

In addition to our terms of employment , we also offer employees various other attractive facilities,  such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC .
Employer
Radboudumc
This position is partly funded by the resources made available by the medical sciences Sector plan. With the sector plans, the Ministry of Education, Culture and Science (OCW) intends to make a structural contribution to the cohesion and cooperation between education and research, and to relieve stress and pressure related to science by offering more permanent contracts. In addition, the sector plans contribute to making joint and clear choices in the division of tasks and signatures of the Dutch universities.
Radboudumc fully supports these objectives and has seized this opportunity to strengthen and deepen a number of important existing strategic themes within Radboudumc. These are the themes of prevention, data-driven & Artificial Intelligence (AI), and molecular mechanisms of diseases and new treatments. These themes fit nicely on the thematic foci of the sector plan, namely prevention, data-driven innovation and the path from fundamental research to application. We hope this will not only give an impulse to the research within the radboudumc, but also strengthen the unique position of university medical centers: in no other place is the interaction between fundamental research and the treatment of (complex) patients so clearly present, and the potential for impact on both patients and healthy people so great.
AI, e-health and medical technology as a theme within the Sectorplan
In the focus area "data-driven health: AI, e-health and medical technology," we are committed to the development and implementation of new technologies in medical practice. The sector plan allows Radboudumc, together with regional, national and international cooperation partners, to continue building a self-learning healthcare system where data about our patients and the outcome of treatments are used to improve the treatment of future patients and develop new prevention strategies.
Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on health and healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.
Read more about our strategy  and what working at Radboud university medical center  means. Our colleagues  would be happy to tell you about it. #weareradboudumc
Additional information
Any questions? Please contact prof. dr. Jeroen van de Laak, via +31 (0) 6 15 89 16 07 or send him an email . Use the Apply button to submit your application.
#weareradboudumc

Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. We want to have a significant impact on healthcare.


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Application procedure
Any questions? Please contact prof. dr. Jeroen van de Laak, via +31 (0) 6 15 89 16 07 or send him an email . Use the Apply button to submit your application.

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