What do we need
This is not a standard role, and we are looking for a unique individual who thrives at the intersection of different fields. Pragmatic thinking is essential. You must be able to move beyond theory to create tools that work in the real world for busy professionals.
Essential Qualifications & Experience:
- A Master's degree or PhD in a relevant field.
- Demonstrable expertise in at least one of the following three domains:
1. Artificial Intelligence / Data Science: A strong understanding of machine learning principles, particularly NLP/LLMs. You can critically assess concepts like model performance, fairness metrics, and the nature of "hallucinations."
2. Healthcare / Clinical Research: Experience working within or closely with the healthcare sector. You understand clinical workflows, the challenges faced by clinicians, and the principles of conducting research in a healthcare setting.
3. Policy, Ethics, or Governance: Knowledge of the ethical and regulatory landscape surrounding AI and healthcare, including principles of responsible AI, data privacy (GDPR), and governance.
- Ability to think pragmatically and develop practical, user-centric solutions.
- Excellent communication skills, with the ability to engage effectively with both technical and non-technical audiences.
What do we offer
- A central role in a high-impact project with national visibility, referenced by the government, that will directly influence Dutch healthcare policy and practice.
- Unparalleled access to a network of leading academic hospitals, frontline care providers (GPs, VVT), and innovators in the field of AI in healthcare.
- A dynamic and collaborative research environment with significant autonomy.
- A competitive salary and benefits package in line with UMC CAO standards. The conditions of employment comply with the Collective Labour Agreement for Medical Centres (CAO-UMC).
Contact Information
For questions regarding this position, you may contact Mr. J. Doornberg or Mr. R. Fischer.
You can reach Mr. R. Fischer directly via email at [email protected].
For telephone inquiries, please contact the secretariat of the department using the phone number listed in the contact section at the bottom of this vacancy.
Interested candidates are invited to submit their CV outlining their motivation and how their profile aligns with this role. Please highlight your expertise in at least two of the three key domains and provide an example of a project where you applied pragmatic thinking to solve a complex problem.