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# Senior Epidemiologist, Data Scientist or Statistician

- **Company:** Universitätsmedizin Greifswald
- **Location:** Greifswald, Germany
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Bioinformatics, Computer Programming, Python (Programming Language), Machine Learning, Stata
- **Published:** June 17, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=d77bc652e1f534a5

## About the Role

Do you have experience in Stata?, Do you have a Doctoral degree?, * Completed university degree and doctorate in epidemiology, statistics, mathematics, biomathematics, bioinformatics, data science, psychology, life sciences, or a related field

 * Strong expertise in advanced statistical analysis, ideally including longitudinal data analysis
 * Excellent programming skills in R and/or Python; additional knowledge of Stata is welcome
 * Experience with machine learning methods and/or generative AI approaches
 * Proven experience in epidemiological or population-based health research
 * Publication track record in international peer-reviewed journals
 * Very good communication and presentation skills
 * Very good command of English

Desirable qualifications:

 * Experience in acquiring or contributing to third-party funded research projects
 * Experience with administrative or routine health data
 * Experience in one or more of the following areas is an advantage: incidental MRI findings, pathology-related data, neurophysiological data, or transcranial magnetic stimulation (TMS)

## Description

* 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 publish in international peer-reviewed journals and contribute to the acquisition of competitive third-party funding
 * You will participate in academic teaching and the supervision of junior researchers


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