Researcher in talent track 'AI on real-world data'

12 May 2023
Job Information

Organisation/Company

Radboud University Medical Center (Radboudumc)

Research Field

Medical sciences

Researcher Profile

Recognised Researcher (R2)

Country

Netherlands

Application Deadline

29 May 2023 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Join our dynamic and innovative team as a researcher in the talent track to assistant or associate professor level. We are seeking an individual who is passionate about developing and implementing diagnostic, prognostic and predictive models that use longitudinal real-world data from various sources. With our strong track record in AI-based diagnostic and prognostic models, we are now expanding our focus to incorporate multiple multimodal data sources to better understand diseases and their course.

As a member of our team, you will be at the forefront of new developments in molecular analysis, measurement devices, sensors, and wearables. With the emergence of integrated and standardized electronic patient records, there is a unique opportunity to collect more frequent and complete data, sometimes even continuously. We are excited to explore the potential of these new data sources and their integration with existing methods.

We believe that by gaining better insights into health, prevention and disease processes, we can support innovations in person-centered prevention and therapy. Our vision is to develop explainable AI (transparent algorithms) and multimodal integration methods to help achieve this goal. Your activities will include developing AI-based methods for structuring, analyzing, integrating and interpreting real-world data, and using these methods in diagnosis and prognosis.

As a researcher in the talent track, you will have the opportunity to build a viable research group by acquiring independent and collaborative grants. You will also collaborate with clinical researchers within and outside Radboudumc, contributing to new initiatives around health data, such as Healthy Data. Additionally, you will play a critical role in education, contributing to the design of the new master's in Medical Data Science, training and coaching students in digital skills, and educating students in the Biomedical Sciences and Medicine curricula.

If you are passionate about using AI and machine learning to improve healthcare, and want to be part of a dynamic and innovative team, we encourage you to apply. Join us in our mission to develop cutting-edge methods that help us better understand diseases and ultimately improve patient outcomes.

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.

Requirements
Specific Requirements

We are looking for a researcher in talent track who has the ambition to participate in the development of data-driven care for patients inside and outside the walls of the hospital. The candidate endorses Radboudumc's core values, has an innovative mindset, and excels as a team player in intended innovation projects.

We are looking for a solution-oriented researcher with experience in structuring, analyzing and integrating multimodal, longitudinal (bio)medical and real-world data.

• The candidate should, have a strong and proven quantitative background, and hold a PhD in a relevant discipline, such as epidemiology, biostatistics, computer science, data science, artificial intelligence, bioinformatics, biomedical sciences.
• Candidates have demonstratable experience in AI algorithm development, preferably in natural language processing and/or other deep learning methods to analyze unstructured, longitudinal and/or multimodal data.
• Successful candidates have a cross-disciplinary view and enjoy working in interdisciplinary teams and a proven interest in biomedical problems and drive to develop new methods.

Experience setting up educational training for end users is a plus. Candidates are proactive and comfortable in the dynamic and complex environment of a university medical center.

Additional Information
Benefits

Salary depends on knowledge and experience. 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 € 6.717 (scale 11/12) 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 .

Selection process

Any questions? Please contact prof. dr. Alain van Gool, professor Personalized Healthcare, department of Human Genetics, via +31 (0) 6 11 78 30 31 or send him an email .Use the Apply button to submit your application.

Additional comments

Any questions? Please contact prof. dr. Alain van Gool, professor Personalized Healthcare, department of Human Genetics, via +31 (0) 6 11 78 30 31 or send him an email .Use the Apply button to submit your application.

Website for additional job details

https://www.academictransfer.com/327649/

Work Location(s)

Number of offers available

1

Company/Institute

Radboudumc

Country

Netherlands

City

Nijmegen

Postal Code

6525 GA

Street

Geert Grooteplein-Zuid 10

Where to apply

Website

https://www.academictransfer.com/327649/researcher-in-talent-track-ai-on-real-w…

Contact

City

Nijmegen

Website

http://www.radboudumc.nl/

Street

Geert Grooteplein-Zuid 10

Postal Code

6525 GA

STATUS: EXPIRED