INTEGRATIVE COMPUTATIONAL ANALYSIS OF ANDROGEN RECEPTOR GENOMICS TO PREDICT OUTCOME AND THERAPY RESPONSE PROJECT OUTLINE Prostate cancer is one of the most prevalent cancers in males. Currently, Gleason grade, TNM stage, surgical margin status and serum PSA levels are used as prognostic markers in prostate cancer. Although these markers may predict survival and recurrence after radical prostatectomy, they are not suitable for selecting patients for further therapeutic interventions. In this project, we aim to identify predictors of prostate cancer recurrence and response to Androgen Deprivation Therapy. We will generate the most comprehensive overview of primary prostate cancer genomics, including Androgen Receptor/chromatin binding patterns, histone modifications, gene expression and copy number data derived from primary prostate tumor samples, prostate tumor samples that have become resistant to treatment as well as and prostate cancer cell lines. The successful candidates will work closely with biologists and clinicians to develop computational approaches that integrate all these data streams to arrive at improved predictors of recurrence and therapy response. CANDIDATE REQUIREMENTS –EDUCATION AND EXPERIENCE We are seeking highly motivated Postdoc or PhD candidates with a degree in bioinformatics, computer science, mathematics or physics and with a strong cancer biology interest. Preferably applicants should have a strong documented experience in analyzing ChIP sequencing and gene expression data. In addition, we value experience in one or more of the following: sequence motif analysis, clinical data analysis, gene expression analysis, machine learning or applied statistics. The candidate needs to be proficient in programming languages such as Java, Perl or Python, and be comfortable with Linux systems. Fluency in spoken and written English is a strong requirement. LOCATION The project involves a consortium consisting of the NKI-AVL and the Erasmus MC and will mainly employ the complementary expertise and of the groups of Andre Bergman (Molecular Genetics and Internal Medicine), Wilbert Zwart (Molecular Pathology) and Lodewyk Wessels (Computational Biology) at the Netherlands Cancer Institute, Amsterdam. CONTACT DETAILS Please contact Prof Dr Lodewyk Wessels, tel. +31 20 512 7987 or e-mail: l.wessels@nki.nl., or Dr Wilbert Zwart, tel +31 512 7920 or e-mail: w.zwart@nki.nl When applying please ensure you include a CV, list of publications and the names and addresses of at least two persons that can be approached as references. Also see bioinformatics.nki.nl for further information. CLOSING DATE 3 February 2013 L.F.A.Wessels, Ph.D Bioinformatics and Statistics The Netherlands Cancer Institute Plesmanlaan 121, 1066 CX Amsterdam The Netherlands Tel: +31 (0)20 5127987 Fax: +31 (0)20 6691383 Mobile: +31 (0)614413040 http://bioinformatics.nki.nl/