Research Software Engineer for Real-World Data

Join the forefront of healthcare innovation at Radboudumc as a research software engineer! We are seeking a passionate and driven individual to contribute to our strategic focus on data-driven healthcare. As a research software engineer, you will have the opportunity to work alongside AI specialists working with AI techniques applied to longitudinal medical and real-world data from a variety of sources, both structured and unstructured.

We have a vacancy for research software engineer to work on a campus-wide project focusing on the development and application of advanced statistical and machine learning methods for the analysis of real-world data. The project is hosted by the Donders Institute for Brain, Cognition and Behavior at the Radboud University Medical Center (Cognitive Neuroscience department) under the supervision of Prof. Andre Marquand, embedded within the broader sector plan team (‘AI and data driven innovation’). The position also interfaces with the Technical Group at the Donders Centre for Cognitive Neuroimaging and integrated into the wider academic research environment at Radboudumc.

Your responsibilities will include developing software to support the analysis of real-world data, including wearables, smartphone monitoring, questionnaire data, text, and brain imaging data using AI techniques, including federated learning. This will require expertise in diverse data storage techniques (e.g. relational data, image data, tabular data, cloud storage) and in different cloud-based computing technologies (e.g. containers, cluster computing and GPU technology). This will also involve interfacing with back-end systems of data providers (e.g. for the acquisition, processing and storage of real-time wearable and smartphone monitoring data) and cloud-based computing platforms (e.g. Amazon Web Services).

A key objective of this position, and the sector plan more generally, is to facilitate collaborations between research and clinical departments at Radboudumc in order to strengthen our portfolio in AI in healthcare. Therefore, it is also expected that the successful candidate will participate in collaborative projects that bridge research groups. Finally, you will also train end users in the use of AI tools to structure data and contribute to the Radboud Healthy Data program, which aims to unlock data from primary sources for research and health innovation.

If you are passionate about healthcare innovation, have experience in software development, and are excited about the potential of AI in transforming patient care, then we encourage you to apply for this exciting opportunity to make a meaningful impact on 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.

Our ideal colleague has a masters-level degree in a technical discipline such as computer science, engineering, machine learning or other relevant field of study. You are highly proficient in programming python and ideally also other languages such as C/C++.

Also:

• Knowledge and experience of best practice software development principles including version control, continuous integration, code review and experience with AI coding tools.
• Proven interest in biomedical problems and drive to support research and innovation.
• Experience with the Linux operating system and running application services with container technology (such as docker or singularity).
• A proactive attitude, good written and oral communication skills, and be able to work effectively in an interdisciplinary team.

Desirable:

• Experience of web-based applications, plus javascript and HTML.
• Knowledge of implementing FAIR principles and data interoperability standards.
• Experience with data security and privacy aspects.
• Experience with scientific data analysis techniques, software tools (e.g. FSL, FreeSurfer, SPM) and/or imaging formats (DICOM, NIFTI).
• An interest in clinical applications of machine learning.
• Prior experience with smartphone monitoring technology.

At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:

• A gross monthly salary between € 3.598.and € 5.669 (scale 10) for full-time employment (36 hours per week). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and, depending on the position, an allowance of 47% to 72% for working irregular hours.
• 176 vacation hours per year based on a 36-hour working week.

This position is 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 programmes within Radboudumc. These programmes align nicely with 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 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 Sector Plan
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.