Postdoc LabGPT

Are you Postdoc with a drive to create innovative health technology solutions using generative AI to improve medical decision making?
  • WO
  • Tijdelijk
Amsterdam UMC


The launch of ChatGPT has accelerated the use of AI as a disruptive technology. This also applies to healthcare where, for example, ChatGPT can help reduce the registration burden or rewrite complex medical texts in understandable language. But generative AI has much broader and far-reaching consequences for the use of AI in healthcare: for example, the way that clinical risk and prediction models are developed and used is changing drastically. In this project, we develop a clinical foundation model with laboratory data and contextual information. Just as ChatGPT was developed based on text data from the internet with a chatbot as an application, we will develop a foundation model based on laboratory data with a series of prediction models as applications. Three such next-generation clinical prediction models will be built: for blood/urine culture analysis, heart failure and adrenoleukodystrophy, respectively.

You will be based in the Translational AI Laboratory at the Department of Laboratory Medicine of Amsterdam UMC, and tightly collaborate with medical AI specialists and other clinical disciplines.

Your challenges will be to (1) develop the foundation model and prediction models, and (2) assess and report on method feasibility and model performances. You will thereby actively contribute to the growing body of knowledge on generative AI models in healthcare; foster and enable the clinical implementation of impactful medical prediction models; and deliver first steps towards deploying cutting-edge generalist medical AI models in practice to improve future medical decision-making.


  • PhD in artificial intelligence, bioinformatics, computer science, or related fields;
  • Affinity and experience with research in generative AI;
  • Affinity and experience with healthcare research;
  • Organisational, communicative and cooperative skills, as you will collaborate with scientists from multiple scientific disciplines.


You will be working at the Translational AI Laboratory (TrAIL) at the Department of Laboratory Medicine of Amsterdam UMC. The mission of TrAIL is to transform expertise and enthusiasm on AI in healthcare into effective health technology solutions with the aim to improve patient care. We offer an inspiring working environment, great colleagues, and lots of social activities.


  • Contract for a two years for 36 hours a week
  • Salary scale: postdoc € 3.359,- tot € 5.292,- (based on a 36 hour week), depending on qualifications and experience.
  • Additional benefits including an 8.3% end-of-year bonus and 8% holiday pay. Calculate your net salary here.
  • Your pension is accrued at The Dutch Pension Fund for government and education employees (ABP). Amsterdam UMC contributes 70% of this scheme
  • We reimburse 75% of your OV travel costs (commuting costs).
  • For more information about our employment conditions, please visit our website.
  • For Dutch citizens it is mandatory to provide a VOG (Verklaring Omtrent Gedrag).

Meer informatie

The selection procedure will be performed in two rounds: the first being an interview, the second will be an assessment. The first round will be held on Tuesday the 19th of March (afternoon) or Thursday 21th of March. If applicable, a final round will be held on the 2th of April in the afternoon. Please take this in account when applying for this position.

We aim for this position to start on May 1st, 2024.

If you have any questions about this position, please contact Prof. M.C. Schut:

For more information about the application procedure, you can contact Rodmer de Lange, corporate recruiter, via or via 06-11037870.

A reference check and screening may be part of the procedure. Read here what this entails. If you come to work for us, we ask for a VOG (Certificate of Good Conduct).

Internal candidates have priority over external candidates in case of equal suitability.

Acquisition in response to this vacancy is not appreciated.