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Position: Postdoc Bioinformatics - mRNA translation in cancer
Institution: Netherlands Cancer Institute
Location: Netherlands
Duties: The successful candidate will continue an ongoing research line in the lab to establish the link between defective protein production and cancer. In this context, the applicant will be responsible for the analysis and further development of bioinformatics pipelines to examine various large datasets of Ribo-seq, DNAseq, RNAseq, and mass spectrometry. In addition, the applicant will analyse functional genetic screenings and biochemical experiments. Apart from this, the applicant can incorporate in-house and external resources to develop predictive models of defective protein production. We expect the successful applicant to have direct interactions with other computational and experimental researchers, to supervise PhD and undergraduate students, and finally to be involved in writing of scientific papers, project reports and grant applications
Requirements: Experience with the analysis of proteomics datasets (protein expression, phosphoproteomics etc) is a big advantage; Experience with the analysis of genomics (RNA-seq, Ribo-seq, CRISPR-screening) datasets; Proficient in R, and at least one the following programming language; PERL and Python; Experience with high performance computing and proficient in UNIX and BASH scripting
   
Text: Postdoc Bioinformatics - mRNA translation in cancer The successful candidate will continue an ongoing research line in the lab to establish the link between defective protein production and cancer. In this context, the applicant will be responsible for the analysis and further development of bioinformatics pipelines to examine various large datasets of Ribo-seq, DNAseq, RNAseq, and mass spectrometry. In addition, the applicant will analyse functional genetic screenings and biochemical experiments. Apart from this, the applicant can incorporate in-house and external resources to develop predictive models of defective protein production. We expect the successful applicant to have direct interactions with other computational and experimental researchers, to supervise PhD and undergraduate students, and finally to be involved in writing of scientific papers, project reports and grant applications Experience with the analysis of proteomics datasets (protein expression, phosphoproteomics etc) is a big advantage; Experience with the analysis of genomics (RNA-seq, Ribo-seq, CRISPR-screening) datasets; Proficient in R, and at least one the following programming language; PERL and Python; Experience with high performance computing and proficient in UNIX and BASH scripting
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