We are still recruiting additional post docs!
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.
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.
Competence requirements
To be eligible for the position you should have a PhD, or equivalent, in bioinformatics, genomics, computer science or related field, which is not more than three years old. You have documented experience with programming languages, and familiarity with next-generation sequence data analysis including experience with existing NGS genome analysis tools (GATK, BWA, samtools) and additional SNP, SV and CNV software. Previous documented experience in working with human genomics data is a merit. Emphasis will also be placed on personal qualities such as collaboration and communication skills, analytical capacity and ability to take initiative. It is important that you have a good sense of initiative, and an ability to work independently. You will work in a multidisciplinary environment and, therefore, very good oral and written communication skills in English are required. Previous postdoctoral experience is a merit.
The application
The application should include (1) a Curriculum Vitae, (2) copies of relevant degree certificates and publications, (3) names and contact information to at least three reference persons and (4) a cover letter with a motivation. The application can be submitted either electronically (MS Word or PDF format) or in hard-copy (two copies) form.
For further information please contact Adjunct Professor Beatrice Melin, Oncology Department, +46 (0)90-785 13 59, beatrice.melin@onkologi.umu.se or Professor Johan Trygg, Department of Chemistry, +46 (0)90-786 69 17, johan.trygg@chem.umu.se.
Union information is available from SACO, +46-(0)90-786 53 65, SEKO, +46-(0)90-786 52 96 and ST, +46-(0)90-786 54 31.
Your complete application, marked with reference number 315-1247-13, should be sent to jobb@umu.se (state the reference number as subject) or to the Registrar, Umeå University, SE-901 87 Umeå, Sweden to arrive August 15, 2014 at the latest.
We look forward to receiving your application!
