Statistician (Postdoc or PhD candidate) (m/f/d/x)
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 exposures (HB), e.g., from wearable sensors, omics • Statistical analysis of health insurance data (SH), e.g., survival analysis and quantitative bias analysis•
- Develop new statistical methods and apply them to health data •
- Participate in joint (international) research projects •
- Publish and present research results •
- Develop software packages •
- Co-supervise bachelor and master students (postdocs: also co-supervise PhD students) •
- Support acquisition of external funding, develop independent research projects (postdoc only) •
- Master’s / PhD degree (or equivalent) in (bio-)statistics, (bio-)mathematics, data science, computer science or related disciplines •
- Solid background in statistics •
- Programming skills in R, Python or SAS; other languages such as C++ or Java are beneficial •
- Good command of spoken and written English •
- Strong interest in interdisciplinary research •
- Initiative, motivation, commitment, and scientific curiosity
What we offer:
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).We offer exciting research topics, a stimulating international environment, a good infrastructure, close ties to the University of Bremen and an engaged, supportive and cooperative team. Postdocs are encouraged to strive for scientific independence and to establish their own research focus. BIPS holds the audit ‘berufundfamilie’ (work and family) certificate and actively promotes the compatibility of career and individual lifestyle through flexible working hours, mobile working options, and continuous professional development. We also offer additional support for international scholars to relocate to Germany through the Welcome Center of the U Bremen Research Alliance.