In this project, you will develop and apply statistical methodology for predicting the outcome of renal and liver patients under different treatment conditions. This means that you will investigate different causal inference methods and apply these to medical data in order to generate clinically useful predictions for patients. You will work on large registries with data from patients with renal disease. You will also analyse data from liver transplant patients, with the aim to develop a new transplant allocation algorithm based on both pre- and posttransplant mortality. You will collaborate closely with epidemiologists, nephrologists and transplant surgeons. You will present your results at international conferences, and publish your results both in statistical and in clinical journals leading to a PhD thesis. You will have a light teaching responsibility (at most 10% of your time).

You hold a master’s degree Statistics or a similar topic. You have the ambition to master complex causal inference techniques and you have a profound interest in medical applications. You look forward to collaborating with medical researchers who want to use your models in practice. You have good communicative skills in English and you have the ability to explain complex material in laymen’s terms. Experience with medical research is an advantage.

Fixed-term contract: 4/4.5 years.

You will be appointed for the duration of four years. Your salary is a maximum of € 2,422 in the first year, amounting to a maximum of € 3,103 in the final year (scale PhD students, Collective Labour Agreement University Medical Centers).

Referenced can be requested as part of the procedure.

Department of Biomedical Data Sciences (section Medical Statistics) and the Department of Clinical Epidemiology

The candidate will get a joint appointment at the Department of Biomedical Data Sciences (section Medical Statistics) and at the Department of Clinical Epidemiology. The Department of Biomedical Data Sciences at the LUMC has the largest biostatistics research group in the Netherlands. The group has a strong international reputation for research in survival analysis. The Department of Clinical Epidemiology at the LUMC is world leading in the field of causal inference and is at the forefront of the collection of large international cohorts of kidney patients. You will work in a vibrant environment with several postdocs and PhD students.