Marvin N. Wright

The Leibniz Institute for Prevention Research and Epidemiology – BIPS GmbH in Bremen, Germany, is recruiting several Statistician (Postdoc or PhD candidate) positions for work in methodological and applied health research. The positions are embedded in the institute’s broader prevention research programme, with strong links to large epidemiological cohort studies, the NAKO Health Study, and secondary health insurance data. Research will be organized around one of five methodological themes: Causal Inference (including target trial emulation and double-robust estimation), Machine Learning (including interpretable ML and tabular foundation models), Statistical analysis of cohort data , Statistical modelling of health behaviours and complex exposures (for example wearable sensor and omics data), and Statistical analysis of health insurance data (including survival analysis and quantitative bias analysis). The role is therefore well suited to candidates interested in modern statistical methodology applied to epidemiology and public health. Main tasks include developing new statistical methods, applying them to health data, participating in international collaborations, publishing and presenting results, developing software packages, and co-supervising students. Postdoctoral researchers are also expected to help with external funding applications and to develop independent research projects. Applicants should hold a Master’s or PhD degree (or equivalent) in (bio-)statistics, (bio-)mathematics, data science, computer science, or a related field. A strong statistics background is required, together with programming experience in R, Python, or SAS; C++ or Java are considered beneficial. Excellent English skills and a strong interest in interdisciplinary research are expected. The institute values initiative, motivation, commitment, and scientific curiosity. The position is funded at E13 TV-L level, with a 39.2-hour full-time week , and is offered for 3 years starting on or after 1 January 2027 , with possible extension. BIPS highlights a supportive international environment, good infrastructure, flexible working arrangements, professional development opportunities, and close ties to the University of Bremen. Applications should be submitted by 15 November 2026 .