Statistician (Postdoc or PhD candidate) (m/f/d/x)

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The Leibniz Institute for Prevention Research and Epidemiology – BIPS GmbH invites applications for several positions to be filled as. Statistician (Postdoc or PhD candidate) (m/f/d/x) . Salary scale 13 TV-L, 39.2 hours/week (100% position). The positions are generally suitable for part-time employment. Starting from January 1, 2027 or later for the duration of 3 years (extension possible). In the coming years, the Leibniz Institute for Prevention Research and Epidemiology – BIPS will expand its prevention research within the context of large epidemiological cohort studies. In doing so, it will also place a focus on methodological and implementation research. The institute conducts its own studies in this area (e.g., IDEFICS/I.Family cohort study ), participates in the NAKO Health Study , and conducts targeted research using secondary data from health insurances. For research to be conducted within the framework of these cross-departmental topics, we are looking for several statisticians with methodological focus in at least one of these topics: . Causal Inference (CI), e.g., target trial emulation, double-robust estimation methods . Machine Learning (ML), e.g., interpretable machine learning, (tabular) foundation models . Statistical analysis of cohort data (SC), e.g., trajectories of health outcomes and their determinants . Statistical modelling of health behaviors and complex exp