Job ID: 5423
Job date: 2016-12-19
End Date:
Company : University Medical Center Goettingen Country : Role : Postdoc
Job date: 2016-12-19
End Date:
Company : University Medical Center Goettingen Country : Role : Postdoc
Job Description:
University Medical Center Goettingen Department of Medical Statistics Germany Goettingen The position primarily involves the management and integration of complex biomedical data for research purposes within various projects and consortia. This will include the setup and maintenance of knowledge and data management servers (e.g. openBIS, Wikis, tranSmart) as well as the implementation of ETL data pipelines. Further tasks will include statistical analyses and the integration of high-troughput data and clinical records as well as external data sources. Qualifications: - An appropriate university degree in computer science or bioinformatics - Experience in Unix server administration - Knowledge in data management - Ideally, experience with openBIS and in setting up Wiki-systems as exchange and communication platforms - Experience with a general-purpose programming and scripting language (such as R, Python, Shell, Java, optional C/C++/C#) - Ideally, experience with data workflow systems (e.g. KNIME) and knowledge in statistical analyses of biomedical data Start date: As soon as possible How to Apply: Please send your application by email only (in PDF-format) until January 9th 2017. Contact: University Medical Center Göttingen Department of Medical Statistics Humboldtallee 32
Additional Info:
The University Medical Center Göttingen is a tertiary care center and offers great development potential. Its 7000 employees work in over 60 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. [Click Here to Access the Original Job Post]
University Medical Center Goettingen Department of Medical Statistics Germany Goettingen The position primarily involves the management and integration of complex biomedical data for research purposes within various projects and consortia. This will include the setup and maintenance of knowledge and data management servers (e.g. openBIS, Wikis, tranSmart) as well as the implementation of ETL data pipelines. Further tasks will include statistical analyses and the integration of high-troughput data and clinical records as well as external data sources. Qualifications: - An appropriate university degree in computer science or bioinformatics - Experience in Unix server administration - Knowledge in data management - Ideally, experience with openBIS and in setting up Wiki-systems as exchange and communication platforms - Experience with a general-purpose programming and scripting language (such as R, Python, Shell, Java, optional C/C++/C#) - Ideally, experience with data workflow systems (e.g. KNIME) and knowledge in statistical analyses of biomedical data Start date: As soon as possible How to Apply: Please send your application by email only (in PDF-format) until January 9th 2017. Contact: University Medical Center Göttingen Department of Medical Statistics Humboldtallee 32
Requeriments :
Skills :
- Lunix/Unix
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in C#
- Programming in Java
- Programming in R
- Shell scripting
- Statistics
Areas :
Additional Info:
The University Medical Center Göttingen is a tertiary care center and offers great development potential. Its 7000 employees work in over 60 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. [Click Here to Access the Original Job Post]