Project (Heike Bickeböller)
The Institute of Genetic Epidemiology, University Medical Center Göttingen is seeking a Ph.D. student for the development of statistical methods and the supervision of genetic epidemiological studies. The position is part-time (65% full-time) and is initially temporary for 2 years (remuneration according to the German TV-L tariff contract). The conditions of acceptance onto the doctorate degree programme “human sciences in medicine” are to be adhered, which includes a structured training programme in statistics / data science. The candidate is expected to participate in teaching in German in our course program (degree courses of human medicine, molecular medicine, applied statistics, applied data science).
The development of statistical methods is envisaged above all in the fields genome-wide association, longitudinal studies, integrating -omics data. A focus lies on kernel or other procedures in data science in the combined analysis of genes, biological pathways incl. network structures, as well as gene-gene and gene-environment interactions. Within co-operations in the Campus Institute of Data Science (CIDAS), additional techniques such as Bayes methods, mixed models, and machine learning approaches are considered. We conduct genetic epidemiological studies e.g. on lung cancer within the International Lung Cancer Consortium and INTEGRAL Network, on the longitudinal course of psychoses in the PsyCourse Network, as well as on haematopoietic stem cell therapy in cooperation with international partners.
Candidates are required to have completed a university degree in statistics, data science, mathematics, informatics, natural sciences, or medicine with a solid education in statistics on a level equivalent to classes offered to degree students in mathematics, as well as the will to work in an interdisciplinary environment. Proficiency in genetic epidemiology is advantageous but not required. You will be expected to have the necessary advanced skills in relevant statistical analysis software packages (especially R). A sound knowledge of informatics is particularly helpful. Written and spoken fluency in English and German is essential.
University Medical Centre Göttingen aims to increase the proportion of women in areas in which they are underrepresented. Applications from qualified women are therefore particularly encouraged. Preference will be given to applications from disabled persons in the case of equal aptitude.
Homepage Research Group
http://www.genepi.med.uni-goettingen.de/index_en.html