The University Medical Center Göttingen is a tertiary care center and offers great development potential. Its 7400 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching. Göttingen, “City of Science”, lies near the center of Germany and its University is embedded in the city’s attractive network of scientific research facilities. Within the Center of Statistics, Informatics and Epidemiology several institutes are working together in the research and application of statistical and informatics methodology to analyze and interpret biomedical data.

At the Department of Medical Statistics of the University Medical Center Göttingen we are seeking

• PhD students in the areas of Bioinformatics, Biostatistics or Medical Image Analysis (fixed-term contract, part-time positions | salary according to TV-L 13 50%)

Within different research consortia we have several openings for PhD student positions. We are developing tools and methods to integrate and interpret different types of Omics data and are applying these in the context of oncological research and in medical applications. Here, we are looking for a PhD student to work on the analysis, integration and visualization methods to work with molecular pathways in the context of high-throughput Omics data. Further, we are working on projects with cell tracking data from live-cell imaging. Here, we are looking for a PhD student for the statistical analysis of cell track data.
The ideal candidate should have a background in computer science, bioinformatics or applied statistics and ideally also have initial experience with applications on high-dimensional data (Microarray or Next-Generation Sequencing) in medicine or biology. Previous experience with the statistical computing environment of R/Bioconductor would be beneficial. Good knowledge of Linux and with scripting languages is required.

• Bioinformatician with focus on data management and integration (initially for two years, with possibility of extension, full-time position | salary according to TV-L 13 100%)

The position primarily involves the setup and maintenance of documentary data servers (uni based, e.g. openBIS, TikiWiki, openClinica). Further tasks will be setting up and modification of Case Report Forms as well as the implementation of data pipelines from data system to data system (ETL modules – extract transform load).

Requirements:

An appropriate university degree in computer science or bioinformatics; experience in unix server administration, knowledge in data management. Ideally, experience with openBIS, in setting up Wiki-systems (TikiWiki) as exchange and communication platforms; experience with a general-purpose programming and scriptinglanguage (such as R, Python, Shell, Java, optional C/C++/C#). Ideally, experience with workflow systems such as KNIME

• Bioinformatician with focus on statistical analyses of high-throughput data at the local bioinformatics core facility (initially for two years, with possibility of extension, full-time position | salary according to TV-L 13 100%)

The position primarily involves the statistical analyses of high-throughput data as well as  the representation and communication of results to our customers.

The ideal candidate should have a background in computer science, bioinformatics or applied statistics
and ideally also have initial experience with applications on high-dimensional data (Microarray or Next-Generation Sequencing) in medicine or biology.
Previous experience with the statistical computing environment of R/Bioconductor would be beneficial.
Good knowledge in Linux and with scripting languages are required.

Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.

Please send your application by email only (in PDF-format) until the 29th of July.

Contact:

University Medical Center Göttingen

Department of Medical Statistics

37099 Göttingen

Phone: 0551/39-4990

Fax: 0551/39-4995

Mail: sekretariat.ams@med.uni-goettingen.de

Web: http://www.ams.med.uni-goettingen.de/