Berlin, Berlin, Germany
Responsible for statistical analysis, data management, and other analytical support to the Epidemiology & Real-World Evidence projects, in the field of inflammatory bowel disease and celiac disease, in cooperation with internal and external stakeholders. Implementation and evaluation of Epidemiology & Real-World Evidence projects, in collaboration with internal and external stakeholders. Profound knowledge of epidemiological and statistical concepts and methods relevant for the: - identification of potential research topics ensuring high quality of research processes and results - design and implementation of epidemiological research projects - development and review of statistical sections of protocols - development of statistical analysis plans - planning, evaluation, and reporting of observational and clinical studies Generation, communication and dissemination of reports, abstracts, presentations, and scientific publications.
Involved in the analyses of the PopGen study (a population-based biobank with prospective follow-up of a control group). Main research activities: - Untargeted metabolomics, biomarker identification, pathway analyses/mechanisms, dietary patterns, and metabolic-related disorders. Other activities: - SAS programming (classic and advanced techniques). - Database management. - PhD mentor. - Lecturer: Environmental and Applied Epidemiology (course head), Epidemiology, Cardiovascular Epidemiology, Nutritional Epidemiology.
Involved in the analyses of the European Prospective Investigation into Cancer and Nutrition (-EPIC) Potsdam (cohort and case-cohort study), EPIC-Germany and EPIC-Heart study. Main research activity: - study of biomarkers of bone mineral metabolism and cardiovascular endpoints (i.e. myocardial infarction, stroke, and heart failure). - Improvement in prediction of cardiovascular disease risk by selecting and studying novel biomarkers that give insights into cardiovascular disease pathogenesis. - Study of lifestyle factors (including nutrition), biomarkers, genetic variants and cardiovascular endpoints. - Programming in SAS: classic and advanced statistical techniques.
Researcher in Cardiovascular Epidemiology