- Bewerbungsfrist
- 15.11.2026
- Beginn
- By arrangement
The Leibniz Institute for Prevention Research and Epidemiology – BIPS develops effective strategies for the prevention of chronic, non-communicable diseases. Supporting a healthy life-course early on is our primary goal. The focus of our research is therefore on factors beyond individual diseases, such as lifestyle and environment, biological and social factors, as well as early detection of diseases and drug safety. Our research spectrum covers methodological development, the identification of the causes of diseases, and intervention and implementation research.
Berufsgruppe
Studentisches Personal
Besetzbar
By arrangement
Bereich
The Department of Statistical Methods in Epidemiology and the Data Science unit at BIPS contribute to a wide range of epidemiological research projects. Our work includes the analysis of cohort and other primary data, such as nutrition, physical activity, genetic and molecular data, as well as their combination with secondary data, including spatial exposure data.
Our research spans statistical methods for epidemiology, causal inference, interpretable machine learning and federated data analysis. We also support the quality assurance and monitoring of the upcoming field survey in the IDEFICS/I.Family cohort study.
Aufgabengebiet
As a student research assistant, you will support our teams in their research activities. Depending on the project, your tasks may include:
• Supporting the preparation, quality assessment and monitoring of study data
• Assisting with the organization and analysis of epidemiological data
• Programming in R, Python or SAS (depends on the project)
• Setting up simulation studies
• Creating plots and shiny applications
• Interpretation of results
The work is varied and offers insight into the day-to-day activities of biometricians and data scientists in epidemiological research.
Voraussetzungen
• You are currently enrolled at a university in a relevant field.
• You have a Bachelor’s degree in statistics, biostatistics, mathematics, data science, or a related discipline.
• You have experience in programming (preferable in R, Python or SAS)
• You are interested in quantitative methods and their application to health research.
• You work carefully and reliably, and enjoy working as part of a team.
• You are able to communicate in German and/or English.
Kennzeichen
A26-27
Bewerbungsfrist
15.11.2026
Befristet
6- 12 months
Allgemeine Hinweise
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. We also assign Master's thesis topics that cover the areas of theoretical or applied statistics in epidemiology.
Bewerbungshinweise
Among equally qualified applicants, preference will be given to severely disabled candidates.
BIPS holds the audit ‘berufundfamilie’ (work and family) certificate and actively promotes the compatibility of career and individual lifestyle through flexible working hours, and continuous professional development.
Ansprechperson
Enquiries to: Ronja Foraita, PhD telephone: +49-421 / 218-56954, email: foraita@leibniz-bips.de
Additional information can be found on our homepage: www.leibniz-bips.de/en
Please submit your comprehensive application in German or English with the usual documents (motivation letter, CV) quoting the reference number A26-27 by 15.11.2026 compiled as a single unified PDF document to:
bewerbung@leibniz-bips.de
Please note that applications which do not comply with the required format (1 PDF document) cannot be considered.
Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS GmbH
- Personalverwaltung -
Achterstraße 30
28359 Bremen
bzw. per E-Mail an Michaela Modde: bewerbung@leibniz-bips.de
