Job ID: 366113563
Job date: 2017-06-11
End Date:
Company : Klinikum Rechts Der Isar Country : Role : Other
Job date: 2017-06-11
End Date:
Company : Klinikum Rechts Der Isar Country : Role : Other
Job Description:
The Department of Medicine II at the Technical University of Munich and the German Cancer Consortium at the German Cancer Reserach Center Heidelberg, in collaboration with the Wellcome Trust Sanger Institute Cambridge/UK are seeking a Bioinformatitian f/m We are looking for a bioinformatitian (PhD student or postdoc) to undertake the analysis of genomic data from projects carried out by our team and collaborating partners. We perform genetic screens using transposon-based insertional mutagenesis and CRISPR/Cas9, including cancer gene discovery screens in mice and drug sensitivity/resistance screens in vitro (e.g. Science 2010, 330:1104-7; Nature Genetics 2015;47(1):47-56; PNAS 2015;10;112(45):13982-7; Nature com.2016; Feb 26;7:10770). We are also generating genomic datasets from stem cells and mouse/human tumours using whole-exome sequencing, gene expression profiling, comparative genomic hybridization, whole-genome methylation profiling and chromatin immunoprecipitation (e.g. Cancer Cell. 2013;24(1):15-29; Nature. 2012 May 16;486(7403):400-4.). The analysis, integration and visualisation of such large genomic datasets will be an important role of the successful applicant, who will be able to harness specific expertise already available in our team or collaborating teams at the Sanger Institute in Cambridge. Ongoing work also includes the development of a database infrastructure for the integration of genomic and clinical patient data in a combined research/translational setting. The successful candidate will be expected to run own projects and to also support the needs of the team and collaborators regarding bioinformatics analyses. She/he will be affiliated at the German Cancer Research Center (German Cancer Consortium) and the Technical University of Munich. The group is based in Munich. Your Profile: Experience and education: Masters degree in bioinformatics or equivalent expertise in a relevant subject area (e.g. Computational Biology, Genetics/Genomics, Computer Sciences, Physics or similar); Scientific experience in genomic data analysis is essential. Desired skills: Basic programming skills (e.g. in pearl, Python, Jawa, Shell scripting); good knowledge in basic statistical techniques, experience with a statistical software package (preferably R); experience with analysis of -omics data sets and genomic databases; basic knowledge in genetics;
Additional Info:
Payment is according to tarif (TV-L). We give priority to severely disabled applicants with essentially equal qualifications. Contact: Please send your application including a letter of motivation, CV, certificates, recommendation letters in one pdf file to Prof. Roland Rad (e-mail: Roland.Rad@tum.de). [Click Here to Access the Original Job Post]
The Department of Medicine II at the Technical University of Munich and the German Cancer Consortium at the German Cancer Reserach Center Heidelberg, in collaboration with the Wellcome Trust Sanger Institute Cambridge/UK are seeking a Bioinformatitian f/m We are looking for a bioinformatitian (PhD student or postdoc) to undertake the analysis of genomic data from projects carried out by our team and collaborating partners. We perform genetic screens using transposon-based insertional mutagenesis and CRISPR/Cas9, including cancer gene discovery screens in mice and drug sensitivity/resistance screens in vitro (e.g. Science 2010, 330:1104-7; Nature Genetics 2015;47(1):47-56; PNAS 2015;10;112(45):13982-7; Nature com.2016; Feb 26;7:10770). We are also generating genomic datasets from stem cells and mouse/human tumours using whole-exome sequencing, gene expression profiling, comparative genomic hybridization, whole-genome methylation profiling and chromatin immunoprecipitation (e.g. Cancer Cell. 2013;24(1):15-29; Nature. 2012 May 16;486(7403):400-4.). The analysis, integration and visualisation of such large genomic datasets will be an important role of the successful applicant, who will be able to harness specific expertise already available in our team or collaborating teams at the Sanger Institute in Cambridge. Ongoing work also includes the development of a database infrastructure for the integration of genomic and clinical patient data in a combined research/translational setting. The successful candidate will be expected to run own projects and to also support the needs of the team and collaborators regarding bioinformatics analyses. She/he will be affiliated at the German Cancer Research Center (German Cancer Consortium) and the Technical University of Munich. The group is based in Munich. Your Profile: Experience and education: Masters degree in bioinformatics or equivalent expertise in a relevant subject area (e.g. Computational Biology, Genetics/Genomics, Computer Sciences, Physics or similar); Scientific experience in genomic data analysis is essential. Desired skills: Basic programming skills (e.g. in pearl, Python, Jawa, Shell scripting); good knowledge in basic statistical techniques, experience with a statistical software package (preferably R); experience with analysis of -omics data sets and genomic databases; basic knowledge in genetics;
Requeriments :
Skills :
- Genetics
- genomic
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- Shell scripting
- Statistics
Areas :
Additional Info:
Payment is according to tarif (TV-L). We give priority to severely disabled applicants with essentially equal qualifications. Contact: Please send your application including a letter of motivation, CV, certificates, recommendation letters in one pdf file to Prof. Roland Rad (e-mail: Roland.Rad@tum.de). [Click Here to Access the Original Job Post]