Job ID: 567787
Job date: 2016-01-18
End Date:
Company : Max Planck Institute for Plant Breeding Research Country : Role : Research Scientist
Job date: 2016-01-18
End Date:
Company : Max Planck Institute for Plant Breeding Research Country : Role : Research Scientist
Job Description:
Bioinformatics Position The Department of Comparative Development and Genetics at the Max Planck Institute for Plant Breeding Research (MPIPZ) in Cologne is seeking a Bioinformatician to contribute to high throughput sequence data analyses for the purpose of understanding trait development and diversification in plants. The candidate will work in the group of the Director Prof. Dr. Miltos Tsiantis and will also enjoy opportunities for collaborating with the new bioinformatics group of Dr. Xiangchao Gan. Tasks will involve analysis and interpretation of high throughput sequencing data including RNAseq, ChIPseq and DNAseq generated predominantly but not exclusively on the Illumina platform. Outstanding teamwork and communication skills as well as willingness and ability to work collaboratively towards common goals are essential. Recent work by the group can be seen in Rast-Somssich, (2015) Alternate wiring of a KNOXI genetic network underlies differences in leaf development of A. thaliana and C. hirsutaGenes and Development in press; Cartolano et al (2015) Heterochrony underpins natural variation in Cardamine hirsuta leaf form PNAS 112, 10539–10544; Vlad et al (2014) Leaf shape evolution through duplication, regulatory diversification, and loss of a homeobox gene Science 343, 780-3. The position will suit creative, highly motivated individuals who can interact productively with biologists and are interested in the genetic basis for natural variation and evolutionary change. Your profile The basic qualifications for the outlined position are:
Additional Info:
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Bioinformatics Position The Department of Comparative Development and Genetics at the Max Planck Institute for Plant Breeding Research (MPIPZ) in Cologne is seeking a Bioinformatician to contribute to high throughput sequence data analyses for the purpose of understanding trait development and diversification in plants. The candidate will work in the group of the Director Prof. Dr. Miltos Tsiantis and will also enjoy opportunities for collaborating with the new bioinformatics group of Dr. Xiangchao Gan. Tasks will involve analysis and interpretation of high throughput sequencing data including RNAseq, ChIPseq and DNAseq generated predominantly but not exclusively on the Illumina platform. Outstanding teamwork and communication skills as well as willingness and ability to work collaboratively towards common goals are essential. Recent work by the group can be seen in Rast-Somssich, (2015) Alternate wiring of a KNOXI genetic network underlies differences in leaf development of A. thaliana and C. hirsutaGenes and Development in press; Cartolano et al (2015) Heterochrony underpins natural variation in Cardamine hirsuta leaf form PNAS 112, 10539–10544; Vlad et al (2014) Leaf shape evolution through duplication, regulatory diversification, and loss of a homeobox gene Science 343, 780-3. The position will suit creative, highly motivated individuals who can interact productively with biologists and are interested in the genetic basis for natural variation and evolutionary change. Your profile The basic qualifications for the outlined position are:
- PhD/masters degree in bioinformatics or equivalent background
- expertise in next-generation sequencing data analysis
- excellent skills in statisticsproficiency in programming in at least one script language: Perl/Python/Ruby/R
- proficiency in Unix (Linux), scripting and bioinformatics tools and databases
- strong interest in and understanding of molecular biology and evolution of gene function
- excellent communication skills in English (spoken and written)
- high quality publications that provide evidence for the skill set outlined above.
- expertise in population genetics
- expertise in phylogenetic and evolutionary analyses
- knowledge of C++
Requeriments :
Skills :
- Bioinformatics
- Lunix/Unix
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
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