Vacancy Researcher AI & Real-World Data

Job description

Radboudumc has a strong track record in developing AI-based diagnostic and prognostic models. We are expanding this strength substantially in our pursuit of patient-centred and innovative care, and we are also leveraging global developments in this area. The overall vision is to integrate multiple multimodal data sources from diverse studies and data collections – from clinical trials to routine care data – to better understand conditions and their course. The objective is to gain deeper insights into health, prevention and disease processes to support innovations in person-centred prevention and therapy.

Real-World Data studies and collections in combination with advanced models and AI solutions present specific challenges. In the context of this position, the ambition is to unlock and leverage data that is already routinely collected, both within Radboudumc and with collaborative partners. The quality and validation of models usually require even more comprehensive datasets, such as international patient registries and international collaborations of the Radboudumc, which involve the sharing of large amounts of data, provide a solid foundation for AI and model development.

Tasks and responsibilities.  
For these solutions to be successfully implemented in healthcare, it is essential that they are fit-for-purpose and permanently reliable, with the capacity to handle ever-increasing data and continuous learning models. This includes demonstrating quantifiable performance, such as added diagnostic value or accuracy of predictions at the individual patient level. It is of particular importance to Radboudumc as a hospital that the performance of applications can be demonstrated and secured, taking into account how they are used in practice by doctors and nurses. Given the learning nature of AI models, these are questions that require further research and methodology development.

Due to our focus on implementing AI to improve healthcare, we are seeking a postdoctoral researcher with the potential to advance into the talent track to assistant professor within 1 or 2 years to spearhead the continuous evaluation and validation of advanced AI-based models based on real-world data on an international scale.

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.

Place of work

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.

Sectorplan – Data-driven Innovation
In the focus area 'data-driven health: AI, e-health and medical technology,' we are committed to developing and implementing new technology in medical practice. The sector plan allows Radboudumc, together with regional, national and international collaboration partners, to continue building a self-learning healthcare system where data about our patients and treatment outcomes 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.

Profile

We are seeking a solution-oriented researcher with experience in quantitative modelling and analysis of complex (disease) processes, preferably using diverse data sources, and specifically medical and real-world data.

Our preferred candidate is interested in contributing to the development of data-driven care for patients inside and outside the hospital walls. You are familiar with Radboudumc and its core values and are able to work in a person-oriented, innovative, networked manner, excelling as a team player in intended innovation projects. You are proactive and confident in the dynamic and complex environment of international medical scientific research.

Moreover you have: 

• A PhD degree with strong mathematical and statistical background, in medical biological context. 
• Demonstrated experience in the development of complex quantitative models, preferably including machine learning and deep learning approaches. 
• A cross-disciplinary outlook and enjoy working in interdisciplinary teams. 
• Proven interest in biomedical problems and the drive to develop new methods and reliably put them into practice.
• Persuasive collaborative and a focuse on structural solutions that have broad applicability. 
• Experience in establishing educational training at Msc and post-graduate level is a plus.

Employment conditions

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 € 4.678 and € 6.402 (scale 11) 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.
• 172 vacation hours per year based on a 36-hour working week. (As of 1 January 2025, you will receive 176 vacation hours).

And there is more..

• An Employment Conditions Selection Model, allowing you to use part of your employment conditions to your choosing. For example, you can use your gross salary to purchase additional vacation hours or hours for providing informal caregiving. Or, for example, you can use your gross end-of-year bonus to purchase a bicycle, so you pay less tax.
• Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment. 
• Your well-being and vitality are a priority. For example:
  • Save time for work-life balance leave. 
  • You can enjoy unlimited access to a variety of activities five days a month and take advantage of all the facilities at Radboud Sport & Culture for only €27.05 per month (instead of €41)
  • Healthy Professionals program to help you manage your energy. 
  • Company Support Team and a personal coach if you are going through a life-changing event.
  • Financially beneficial working less through a Generation Scheme as you approach state pension age.
• Support in achieving a good work-life balance at every stage of your life. Examples:
  • Advice and courses on, for example, 'Millennial dilemmas' and 'Your Career After 57'.
  • Activities at our own mindfulness center.
  • Informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
• In addition to statutory pregnancy and maternity leave, Radboud university medical center offers 26 weeks of parental leave, nine of which are paid. In addition, as a partner you can take a maximum of five weeks of supplementary partner leave. During supplementary partner leave and parental leave, we supplement the UWV benefit up to 100% of your salary.
• Pension accrual at the ABP Pension Fund. Radboud university medical center pays 70% of the pension premium. 
• Discounts on supplementary packages of two group health insurances and ten other types of insurance, from home insurance to legal assistance.
• An allowance for your commuting costs of € 0.18 per km up to a maximum of 40 km one way. If you use public transport to commute, we will fully reimburse the public transport costs (2nd class). If you regularly work from home, you will receive a working from home allowance of € 2.35 per day.

Application procedure

Are you ready to think further for our patients and our care? We would like to receive your application before 5 December 2024. We will then contact you shortly.

Good to know

• This position requires a Certificate of Conduct (VOG).
• You can find more information about our application procedure and frequently asked questions on our website.
• Will you be our new colleague? Then you will be given the time and space to get to know your role, your workplace, and your colleagues. An induction day for all new colleagues is an integral part of your onboarding program. 

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!

Contact

Any questions? Or wondering what it is like to work at Radboudumc? Then email to Prof.Dr. Kit Roes, Full Professor or with Prof.Dr. Peter-Bram 't Hoen, Full Professor. Use the Apply button to submit your application.