Das ist der Job
To be filled as soon as possible, part time or full-time for up to 5 years with the option of renewal.
Darum lohnt es sich
You will publish in international peer‑reviewed journals and contribute to the acquisition of competitive third‑party funding. Institute for Community Medicine - SHIP/KEF - Functional Division “Quality in the Health Sciences”.
Your tasks You will take a leading role in the scientific and strategic development of the Functional Division “Quality in the Health Sciences” and contribute to the coordination and co‑leadership of its research activities.
You will contribute to and help manage major collaborative projects in the fields of epidemiology, health data science, reproducible research, FAIR data practices, and data quality in the health sciences.
You will perform and supervise advanced statistical analyses using data from large population‑based studies, including the Study of Health in Pomerania (SHIP) and the German National Cohort (NAKO).
Depending on your expertise and interests, you may contribute to additional projects, for example in the areas of incidental MRI findings or transcranial magnetic stimulation (TMS).
You will contribute to the further methodological development of tools and workflows for reproducible statistical analysis and data quality assessment, including software‑based approaches (e.g. R package dataquieR). You will participate in academic teaching and
