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

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