Epidemiology Researcher

vor 1 Woche


Münster, Nordrhein-Westfalen, Deutschland Universitätsklinikum Münster Vollzeit

We are an ambitious and international team at the University Hospital of Münster, Germany, promoting scientific excellence and career development. Our research group focuses on genetic discovery of molecular traits, such as proteins, to identify genetic regulation of oral diseases and discover new drug targets.

Job Description

As a PhD Student in Genetic Epidemiology, you will be part of a project funded by the German Research Foundation (DFG). You will analyze gene expression and proteomic data combined with genetic data and large-scale population cohort/biobank data to provide robust evidence on potential side effects of medication use in the oral cavity.

Your role includes analysis of large-scale population-based cohort/biobank data including immunological, proteomic, and transcriptomic biomarkers. You will also apply genetic epidemiological methods, such as polygenic scores, genetic correlation, colocalization, and multi-omics data analysis.

In addition to your analytical work, you will write and publish papers, present at scientific conferences/meetings, and attend training activities. There will be opportunities to develop new research skills and projects, including personal fellowship and grant applications.

Requirements
  • A Master's degree or similar in epidemiology, statistics, genetics, or related fields
  • Experience in analyzing population-based cohort/biobank data, especially studies involving immunological, proteomic, genetic, and other biomarkers and health outcomes
  • Knowledge and experience of genetic analysis, e.g., Mendelian randomization, genetic correlation, colocalization
  • Proficiency in standard statistical methods, e.g., regression models
  • Experience with genome-wide association studies (GWAS) and GWAS meta-analysis
  • Experience with additional omics data, e.g., DNA methylation, transcriptomics, proteomics, metabolomics
  • Proficiency in Linux/Unix operating systems
  • Expertise in R or Python
  • Good communication skills and a good command of English
Benefits
  • Support for further personal development and training
  • An interesting and versatile project with challenging tasks
  • Access to the latest computing infrastructure
  • Training and work in a multidisciplinary and committed research team

Please note that some level of in-person work will be required; it will not be possible to undertake this position fully remotely.

Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities.

The estimated salary for this position is approximately €55,000 per year, based on the salary scale 13 TV-L.



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