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Job: Full position as Bioinformatician at ETH Zurich in Personalized Medicine Data Fusion and Method Implementation
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gravatar for Daniel Stekhoven
3.1 years ago by
Switzerland
Daniel Stekhoven10 wrote:

Within the Technology Platform NEXUS Personalized Health Technologies of ETH Zurich in Basel, 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

Bioinformatician (100%).

The Bioinformatician of the PM-ICT Unit will be responsible for the biomedical data fusion, i.e., integrating high-throughput molecular data with environmental and life-style information to provide optimal conditions for cutting-edge data analysis within the highly interdisciplinary domain of personalized medicine. Furthermore, he or she will be the driving force for implementing, testing, and integrating novel analytic methods into the service catalogue of the unit while constantly providing state-of-the-art quality control at the level required for medical data analysis. Both of these tasks will require tight interactions with the statistics and IT team members.

The successful candidate has a PhD in computational biology, bioinformatics, or a related field, and has demonstrated experience in biomedical, genomics, or systems biology research projects involving high-throughput molecular data sets. He or she is familiar with high-dimensional genomic data and its processing as well as preparation for subsequent analysis. Additionally, he or she has an innate knowledge of modern analysis methods for next-generation sequencing data, such as exome-seq, RNA-seq, and ChIP-seq, as well as for GWAS.  Strong programming skills and solid knowledge of R are requirements. Experience in Python and Pandas is a plus, as well as in bioinformatics 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: daniel.stekhoven@bsse.ethz.ch (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

https://pub.refline.ch/845721/3500/++publications++/1/index.html

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