Analysis and visualization of complex multi-phenotype data from high-throughput image-based RNAi screening experiments – German Cancer Research Center (DKFZ), Germany-Heidelberg

Job ID: 3343
Job date: 2015-05-06
End Date:

Company : German Cancer Research Center (DKFZ) 

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Role : Student 


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Job Description:
Analysis and visualization of complex multi-phenotype data from high-throughput image-based RNAi screening experimentsGerman Cancer Research Center (DKFZ)Signaling and Functional GenomicsGermany-Heidelberg Image-based high-throughput RNAi screening experiments produce complex phenotypes with multiple features being assessed in a single image. The extent and complexity of these data pose a big challenge with respect to data management and interpretation. The aim of the project, which is part of a new national bioinformatics initiative (de.NBI), is to develop novel analysis methods for the interpretation and comparison of multi-phenotype data as well as functionalities for their integration and visualization. These functionalities shall be integrated into the GenomeRNAi database (www.genomernai.org) to provide a user-friendly presentation, and interactive analysis tools of image-based multi-phenotype data. Furthermore, the candidate should contribute to the development of concepts for the integration of multi-phenotype data with other “omics” data from external resources.

We are looking for a highly motivated PhD student with a background in bioinformatics or computational biology. The successful candidate will have strong skills in image analysis, statistics and R/Bioconductor programming. Experience with JAVA web application development, Javascript visualization frameworks (e.g. d3.js) and web services (e.g. REST, SOAP) will be advantageous.

Job Information
Position Type: PhD student position Reference (Job ID number): Boutros0115
Start Date: ASAP
Duration: NA
Status: open

Contact Information
German Cancer Research Center (DKFZ)
Signaling and Functional Genomics
http://www.dkfz.de/signaling

How To Apply:Please apply via the HBIGS graduate programme: http://tinyurl.com/owzpzts


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