Within the Technology Platform NEXUS Personalized Health Technologies of ETH Zurich in Zurich, Switzerland, we are establishing the Personalized Medicine Information and Communication Technology (PM-ICT) Unit in the context of the Competence Center for Personalized Medicine. The unit will support the management, integration and analysis of biomedical data in personalized medicine research projects.
We are offering per January 1, 2015, a limited-duration contract position (for 1 year with the possibility to be turned into a permanent working contract) to a
Statistician or Biostatistician (100%).
The (Bio-)Statistician of the PM-ICT Unit will be responsible for planning, performing, and reporting data analysis tasks within the biomedical research support services offered by the PM-ICT Unit. He or she will provide on-site consultancy to researchers in the highly interdisciplinary field of personalized medicine. As statistician he or she will not only perform cutting-edge statistical data analysis, but also ensure a state-of-the-art level of quality control required for medical data analysis and be involved in the acquisition of new clients and the implementation of novel methods into the portfolio of the service catalogue of the unit.
The successful candidate has a PhD in statistics or biostatistics, and has demonstrated experience in biomedical, genomics, or systems biology research projects involving high-throughput molecular data sets. He or she is familiar with modern statistical methodology for analyzing high-dimensional genomic data and its use in clinical applications. Strong programming skills in R are a requirement.
Experience in consultancy, preferably in the private or medical sector is a plus, as well as in statistical software development, data management, personalized medicine or interdisciplinary research. We especially invite women to apply for this position.
For further information please contact Dr. Daniel Stekhoven by e-mail email@example.com (no applications).
We look forward to receiving your application online, including a comprehensive CV, cover letter, diplomas, and work certificates. Please upload all documents (pdf is recommended) through the website. Any other way of applying will not be considered.