Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
- Location
- Greifswald
- Working Model
- Onsite
Job Summary
In this role, you lead scientific development in the health sciences division, perform complex statistical analyses, and contribute to epidemiological studies alongside other research projects.
Job Technologies
Your role in the team
- 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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Our expectations of you
Education
- Completed university degree and doctorate in epidemiology, statistics, mathematics, biomathematics, bioinformatics, data science, psychology, life sciences, or a related field.
Qualifications
- 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.
- Publication track record in international peer-reviewed journals.
- Very good communication and presentation skills.
- Very good command of English.
Experience
- Experience with machine learning methods and/or generative AI approaches.
- Proven experience in epidemiological or population-based health research.
- 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).
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What we offer
- To be filled as soon as possible, part-time or full-time for up to 5 years with the option of renewal.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Ernst-Moritz-Arndt-Universität Greifswald
The Greifswald University is a university located in the Hanseatic city of Greifswald. It was founded in 1456 and is one of the oldest universities in Central Europe.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Senior Epidemiologist, Data Scientist or Statistician
- Location
- Greifswald
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
