Department of Medical Statistics
Job Offers at the Department of Medical Statistics
Within the medical faculty and across the Göttingen Research Campus, the Department of Medical Statistics offers consulting and training in the areas of biometrical and bioinformatics analysis of clinical and molecular data. Additionally, the department is actively conducting research with focus on adaptive designs of clinical trials, evidence synthesis and statistical analysis of high-dimensional data.
In addition to the consulting and training of scientists and students of the medical faculty within the scientific core facilities participation in third-party-funded projects and multi-disciplinary consortia plays a major role in the activities of the department.
Even if there is currently no suitable vacancy, you are welcome to send us an unsolicited application. We are always looking for staff with a degree in biostatistics, health economics and health sciences for methodological research as well as for support in the area of clinical trials, health services research and evidence-based medicine to work on externally funded projects and in our service groups.
If you are interested, please send your application to sekretariat.ams(at)med.uni-goettingen.de.
Topics for Theses
We offer a range of topics for theses in the areas mentioned above. However, we also welcome your own suggestions. The following topics are currently offered by our working and service groups.
Working group Statistical Methods for Clinical Trials:
- "Agent-based modelling of therapeutic interventions: How can we explore complex patient-therapist interactions and their effects in childhood obesity therapy with agent based models (ABM)?" (joint project with Professor Kerstin Wiegand)
Working group Clinical Epidemiology and Health Economics:
- "Validation and recalibration of kidney transplantation risk prediction models using data from the German transplantation registry"
- "Examination whether the implementation of a fixed effect in beta-binomial regression models preserves the principle of concurrent control in blocked designs such as meta-analyses"
- "Cross-Validation of real-world/routine health care data and data collected for clinical trials from the University Medical Center Göttingen"
Working group Computational Statistics (topics from November 2024 onwards):
- "Comparing Causal Forests with GAMLSS for Heterogeneous Treatment Effect Evaluation"
- "Treatment effects on a bivariate outcome using distributional copula regression models"
- "Incorporating Variability into Treatment Optimization Algorithms"
- "Variable selection for causal inference in observational data: propositions for GAMLSS"
If you are interested in writing a thesis, please contact the head of the relevant working or service group directly.
This could also be of interest