Vacancy ======== One postdoctoral position in statistical genetics/genetic epidemiology is immediately available. The successful candidate will analyze high-throughput SNPs data using existing tools, and implement additional statistical/computational methods as needed. The work will be performed with a team of bioinformaticians and computer scientists from the in Silico Wet Lab project (http://insilico.vub.ac.be/). The objective is to integrate different types of high-throughput data (SNPs annotations, SNPs genotyping, gene expression and others) for a better understanding of cancers. In Silico is a consortium involving scientists and bioinformaticians from four research groups within the Brussels region. IRIDIA (ULB, iridia.ulb.ac.be) has a longstanding reputation in developing machine learning techniques and their applications, and is complemented by the machine learning expertise at COMO (VUB, como.vub.ac.be). The more biologically oriented partners, IRIBHM (ULB, iribhm.ulb.ac.be) and Swit ch (VUB, switch.vub.ac.be), have a strong background in the analysis of microarray data and functional analysis of SNPs. The successful candidate will be based at the Switch lab. REQUIREMENTS: a Ph.D. or master's degree in statistical genetics, genetic epidemiology, biostatistics, bioinformatics, statistics, computational biology or computer science, with interest in genetics and genomics. Candidates with doctoral degrees in genetics or related fields with strong computational and statistical background are also encouraged to apply. Knowledge of genetic packages is a plus. The candidate should demonstrate ability in scientific programming, ideally in R. Knowledge of Unix, SQL, Perl and C/C++ is desirable. The contract will last till the 31th of August 2010. A possible prolongation depends on the success of the project. Candidates are invited to send their CV with the detailed list of publications and a research statement in .pdf format by email to jreumers@vub.ac.be