Job ID: 617999
Job date: 2017-06-24
End Date:
Company : German Cancer Research Center Country : Role : Postdoc | Student
Job date: 2017-06-24
End Date:
Company : German Cancer Research Center Country : Role : Postdoc | Student
Job Description:
For the partner site of DKTK München the German Cancer Research Center is seeking a Bioinformatician (Ref-No. 192/2017) We are looking for a bioinformatician (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. 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: master's 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:
The position is limited to 2 years. The position can in principle be part-time. The Translation Center is located in the premises of the Technical University of Munich. For further information plesae contact Prof. Roland Rad, phone +49 89 4140-4374. The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference. To apply for a position please use our online application portal (www.dkfz.de). Wir bitten um Verständnis dafür, dass wir per Post zugesandte Unterlagen (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) nicht zurücksenden und Bewerbungen per E-Mail nicht angenommen werden können. The German Cancer Research Center (DKFZ), the largest biomedical research institute in Germany operates a comprehensive program in the field of cancer research. Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).[Click Here to Access the Original Job Post]
For the partner site of DKTK München the German Cancer Research Center is seeking a Bioinformatician (Ref-No. 192/2017) We are looking for a bioinformatician (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. 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: master's 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 :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
Skills :
- Genetics
- genomic
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- Shell scripting
- Statistics
Areas :
Additional Info:
The position is limited to 2 years. The position can in principle be part-time. The Translation Center is located in the premises of the Technical University of Munich. For further information plesae contact Prof. Roland Rad, phone +49 89 4140-4374. The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference. To apply for a position please use our online application portal (www.dkfz.de). Wir bitten um Verständnis dafür, dass wir per Post zugesandte Unterlagen (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) nicht zurücksenden und Bewerbungen per E-Mail nicht angenommen werden können. The German Cancer Research Center (DKFZ), the largest biomedical research institute in Germany operates a comprehensive program in the field of cancer research. Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).[Click Here to Access the Original Job Post]