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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='font-size:18.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Please consider below job opportunity in our exciting KAW project at Umeå University.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'>Postdoctoral Position (2 years) in Computational Human Cancer Genetics<o:p></o:p></span></b></p><p class=MsoNormal style='line-height:12.0pt'><span style='font-size:8.5pt;font-family:"Verdana","sans-serif";color:black'><br></span><span style='font-family:"Verdana","sans-serif";color:black'>Within the large KAW project ”From genealogy to yeast; the search for colon cancer genes with a multidisciplinary approach” the aim is to identify mutations which give a predisposition for colon cancer and to understand why this is the case at the molecular level. There have been several attempts made to understand the genetics of the cancer cell through whole genome sequencing. However, by simply comparing mutations found in a tumor cell with those found in healthy tissue it is not possible to determine which mutation was the driving factor leading to the development of the tumor cell. Our unique approach is to analyze not the tumor cells but, instead, to look at healthy somatic cells in individuals that have developed familial colon cancer. Our central hypothesis is that single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and other genomic variations in the human genome contribute to disease heritability. The strength of this project also lies in the multidisciplinary competence of the participating investigators. Four research groups are involved with expertise in oncology, genetics, bioinformatics and DNA repair/replication systems. Data mining the human genome using next generation sequencing technologies has created great opportunities to identify common, disease-causing mutations. These will in turn be analyzed in different model systems for understanding the molecular mechanisms of colon cancer.<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Verdana","sans-serif";color:black'><br>To this project, we are now searching for a person to conduct research based on next-generation sequencing and data analysis. Approaches include to manage large scale next generation sequencing data, develop or use existing bioinformatic tools for genome-wide SNP, SV and CNV data and multivariate data analysis of integrated genetic data. The position is full time and for a period of two years.<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Verdana","sans-serif";color:black'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-family:"Verdana","sans-serif";color:black'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-size:16.0pt;font-family:"Verdana","sans-serif";color:black'>Deadline for application, Feb 28 2014<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'>For more information, please visit, <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'><a href="http://www8.umu.se/umu/aktuellt/arkiv/lediga_tjanster/315-1247-13.html">http://www8.umu.se/umu/aktuellt/arkiv/lediga_tjanster/315-1247-13.html</a><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'>regards<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:black'>Johan Trygg, professor<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:18.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Computational life science cluster (CliC), Umeå University<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:18.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p></div></body></html>