Dear list, Two positions are available in the bioinformatics group at the Bergonié Cancer Institute of Bordeaux. Interested applicants should contact me directly at kauffmann@bergonie.org. Scientific research at the Bergonié Cancer Institute covers the full spectrum of cancer research, from studies on tumour biology to clinical trials and epidemiology. The basic scientists are integrated into an INSERM unit whose goal is to identify and validate new gene signatures and drug targets. We approach the problem at three levels: Identification, Preclinical validation and Clinical validation. Individual scientists and clinicians work together in groups mostly based on tumour type. The newly created bioinformatics group has two main roles: - Development of bioinformatics software for high throughput data analysis and integrative analysis of data produced by multiple different technologies. The goal is to create tools that can be used to identify new oncogenes and tumour suppressor genes, and to identify genes that confer resistance to chemotherapy and targeted anti-cancer therapies. - Collaboration with the other research groups in the Institute. The institute has ongoing projects that have generated large amounts of in-house genomic, transcriptomic and SNP data on sarcoma, breast cancer and colon cancer, and is developing new projects based on data mining and high throughput sequencing. The bioinformatics group provide expert advice and develop tools that address specific needs for these projects. In this context, two bioinformaticians will be appointed: * 1 year position on sarcoma characterisation, in collaboration with Frederic Chibon and Jean-Michel Coindre Job description: Adult soft tissue sarcomas are rare tumours with heterogeneous location, histologic type, molecular aberration and prognosis. Around 60% of these tumours are characterized by a specific genetic alteration, translocation, mutation or amplification. The other 40% have a complex genetic profile with numerous chromosomal gains and losses. Despite the efforts using microarrays and CGH-arrays, to date, no specific chromosomic alteration has been identified for this second group of sarcomas. We now have different high throughput genomic data (SNP, expression, microRNA...) available on more than 100 tumours that we want to analyse in an integrated manner to characterize this subgroup of tumours. Qualifications and experience: The ideal candidate has either a MsC in statistics or bioinformatics with previous experience in high throughput data analysis and software development, or a PhD in statistics or bioinformatics. In both cases, the candidate is interested in oncology, genetics and molecular biology, has a good understanding of statistical methods and is competent in computer programming. This is a one-year position that might be extended. * 2 years position on treatment resistance prediction in breast cancer, in collaboration with Richard Iggo and Hervé Bonnefoi Job description: SNP/copy number and gene expression data from patients randomised to two treatments will be analysed to identify predictive signatures, new targets and new oncogenes. In addition to analysing DNA and RNA data separately, the goal is to combine the two, to identify common patterns across tumours with different underlying oncogenic defects. Qualifications and experience: The ideal candidate has a PhD in statistics or bioinformatics with previous experience in high throughput data analysis, is interested in oncology, genetics and molecular biology and is competent in computer programming. -- Audrey Kauffmann Bergonie Cancer Institute 229 Cours de l'Argonne 33076 Bordeaux France +33.5.56.33.04.53 [[alternative HTML version deleted]]