Postdoc in Statistical Methods and AI in Medicine at University Medical Center Göttingen

The Institute of Medical Statistics at the University Medical Center Göttingen is seeking a Research Associate/Postdoc to join a dynamic team advancing statistical methods and artificial intelligence (AI) in medicine. This full-time position, available until 31 October 2028, offers the opportunity to work at the intersection of innovative statistical methodology, causal inference, and cutting-edge AI applications within a highly collaborative and interdisciplinary research environment. The successful candidate will contribute to the development of novel statistical methods, implementation of new approaches in statistical software (preferably R), and publication of impactful methodological research. The role involves working within the CAIMed consortium, a Lower Saxony research center for AI and causal methods in medicine, funded by the Ministry of Science and Culture of Lower Saxony and the VolkswagenStiftung. Research topics include evidence synthesis, counterfactual methods, explainability, uncertainty quantification, and federated learning, with applications to personalized healthcare and the management of diseases such as cancer, cardiovascular diseases, and infections. Applicants should have a doctoral degree in Statistics, Mathematics, Biometry, Bioinformatics, or a related field, with a strong background in statistical methodology for causal inference and AI systems. Excellent programming skills in R and/or Python, high proficiency in English, and a proven research track record are required. Experience in grant writing and proficiency in German are advantageous. The position offers a challenging job in a multidisciplinary team, professional training opportunities, and a commitment to equality and inclusion. To apply, candidates should submit their application via the official recruiting portal before the deadline of 8 March 2026. For more information and to access the application portal, visit the provided links.