Seattle Genetics is looking for a Statistical Scientist to join our Translational Medicine Department

Statistical Scientist (ID: 42412) http://ats.staffxl.com/ATS/PortalViewRequirement.do?reqGK=42412 Responsibilities: - Biostatistical lead for translational medicine, including design of exploratory analyses of biomarkers and predictive/diagnostic assays for phase 1 clinical trials - Work with clinical pharmacology to explore PK/PD relationships - Work closely with the bioanalytical group in the analysis of novel assays and with research to analyze biomarkers and diagnostic tests during preclinical studies of toxicity and efficacy Requirements: - Proficiency in biostatistics, programming, and data management required. - Minimum of 3 years industry experience. - Preferred skills include PK/PD analysis, experience with genomic analyses, development of diagnostics, and prior work in Experimental Medicine/Phase 1 programs, especially in oncology indications. - Excellent interpersonal, presentation, and writing skills desired About Seattle Genetics Seattle Genetics is a clinical stage biotechnology company focused on the development and commercialization of monoclonal antibody-based therapies for the treatment of cancer and autoimmune disease. The company's lead product candidate, brentuximab vedotin (SGN-35), is in a pivotal trial under a Special Protocol Assessment (SPA) with the FDA. Brentuximab vedotin is empowered by Seattle Genetics' proprietary ADC technology comprising highly potent synthetic drugs and stable linkers for attaching the drugs to monoclonal antibodies. In addition, Seattle Genetics has three other product candidates in ongoing clinical trials: dacetuzumab (SGN-40), lintuzumab (SGN-33) and SGN-70. Dacetuzumab is being developed under a worldwide collaboration with Genentech (a wholly-owned member of the Roche Group). Seattle Genetics has collaborations for its ADC technology with a number of leading biotechnology and pharmaceutical companies. More information can be found at www.seattlegenetics.com.