Postdoc On Value-of-information From Validating Clinical Prediction Models and Ai
4 uur geleden
Join Maastricht University as a postdoctoral researcher, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches.
Artificial intelligence (AI) can support diagnosis and prognosis, and support optimization of patient care. Whether this is achievable depends on the reliability of an AI-model. Testing of AI is often done on small numbers, and AI-models are not equally useful in all locations and patient populations. Reliability can be measured with value-of-information measures that reflect the risks of uncertainty, expressed as the expected number of misdiagnoses. This allows physicians and policymakers to decide for each AI-model: is it ready for use, or is more research needed?
In this project, you will develop and disseminate these value-of-information measures. In this role, you will conduct interdisciplinary research at the intersection of statistics and health economics to assess and enhance the reliability of AI models in healthcare. You will share your findings through academic publications and presentations. To support the dissemination of methods developed in this project, you will engage with healthcare decision-makers and AI researchers, organize workshops, and develop guidance on the use of the methods for different stakeholders. You mentor junior team members, supporting their academic and professional growth. Additionally, you will actively contribute to the institute's academic environment by participating in seminars, workshops, and collaborative research.
Your daily worksite is the Department of Epidemiology at Maastricht University. Your work is part of a VIDI project, which will be carried out by a team of 2 PhD students and one postdoctoral researcher, under the supervision of Dr. Laure Wynants. You will have local collaborators from various departments (epidemiologists, clinicians, statisticians, health-economists, data scientists) and will benefit from access to an international network of experts in clinical risk prediction modelling and value-of-information analysis.
Your day-to-days tasks and responsibilities are to:
- Develop new predictive performance and value-of-information metrics;
- Propose computational algorithms to estimate these metrics;
- Design and execute simulation studies to evaluate the above;
- Develop workshops and guidance documents for diverse stakeholders;
- Provide support and guidance to PhD students to uphold research quality and drive project progress;
- Write up, publish and present findings;
- Assist in teaching activities.
**Requirements**:
- Has a PhD in Statistics, Health-Economics, or equivalent,
- Has proven ability to conduct high-quality, independent methodological research,
- Has strong expertise (as evidenced by a publication record) in one or more of:
- validation of diagnostic or prognostic models created with regression or supervised machine learning;
- HTA of diagnostic or prognostic models created with regression or supervised machine learning;
- decision curve analysis;
- value-of-information analysis.
- Has experience working in interdisciplinary teams or a strong desire to do so;
- Masters scientific English for speaking, reading, and writing;
- Can program in R or is proficient in another language and willing to learn R.
Knowledge of or experience in clinical epidemiology is considered an asset.
**What we offer**
**As a Postdoc**at the**Faculty of Health, Medicine and Life Sciences**, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you**:
- Good employment conditions. The position is graded in scale 10 or 11 according to UFO profile Researcher, with corresponding salary based on experience ranging from €3378,00 and €6209,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
- An employment contract for a period of 12 months with a scope of 0,6 - 1,0 FTE. Upon a positive evaluation, and extension of 22 to 36 months will follow.
- At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.
- As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM empl
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