Biostatistical consultant for gynecological data analysis

il y a 4 semaines


Leuven, Belgique KU Leuven Temps plein
Master’s degree in medical statistics or biostatistics, or equivalent by experienceAt least five years of experience in applied biostatistics. In particular, experience with diagnostic and prognostic research, analysing performance of prediction models (discrimination, calibration, decision curve analysis), meta-analysis of multicenter data, regression models, key machine learning algorithms (e.g. random forests, XGBoost), Bayesian models.Proficiency in R. Knowledge of other statistical software (WinBugs, SAS) is a plus.Basic knowledge on gynecological tumors, cancer biology and tumor immunology is a plus.Ability to see the bigger picture and reflect on the clinical context.Ability to work independently as well as in team.Fluency in Dutch and English, both written and oral.

We are offering a permanent position for a medical statistician to collaborate in biomarker and prediction modeling studies based on patients presenting at the obstetrics and gynecology department of the University Hospitals Leuven and other (international) hospitals. In particular, you will

Help design the study methodology and write the methodological part of study protocolsWrite statistical analysis plansWrite and execute statistical programming scriptsReport on and interpret the resultsWrite the methodological/statistical part of research articles.You will do this proactively, but always in collaboration with the team. Members of the team are able to provide guidance and supervision when needed. The Department of Development and Regeneration (Prof. Ben Van Calster, Prof. Dirk Timmerman, Prof. Wouter Froyman, Prof. Thierry Van den Bosch) and the Department of Oncology (Prof. An Coosemans) conducts prediction modeling and biomarker studies related to the diagnosis and prognosis of gynecological tumors. At the Department of Development and Regeneration, the focus will be on clinical prediction models to estimate the risk of malignancy in patients with an ovarian/endometrial/uterine/myometrial mass. The research within the Department of Oncology will be focused on understanding the immune system during the disease course of ovarian cancer as well as to determine the effects of therapies on the immune biology of the tumor. The teams consist of methodologists/statisticians, PhD students, gynecologists, lab researchers, and data managers.

We offer full-time and permanent employment in a diverse, international, and interdisciplinary team. You will be able to attend international conferences, follow courses, and participate in scientific publishing.

The position is linked to a grade 7 salary. We offer a training and development programme in an entry-level position in grade 6 for promising candidates who do not yet meet the required profile. Grade 8 is exceptionally reserved for candidates who can take on additional responsibilities right from the start, due to their extensive knowledge and experience.


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