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The Department of Medical Epidemiology and Biostatistics invites applications for Postdoc/research assistant in statistical computing and simulation Simulation and Computational Modeling of Cancer Brief description of Project The successful candidate is expected to conduct research on the simulation and analysis of data involving processes of cancer initiation and progression. The general aim of this project is to develop a simulation engine for investigating the effect of prevention interventions, screening, and treatment on cancer mortality, quality of life and costs, based on individual patient characteristics. The successful candidate will have ample opportunities to work on methodological projects (statistical and computational) as well as applied collaborative projects with medical researchers, statisticians, and computer scientists. The project is funded through the Swedish eScience Research Centre (http://www.e-science.se/) and is part of a project that integrates data, statistical modeling and simulation into a system for in silico assessment of effects of interventions on the population level. Qualifications Applicants should have a PhD degree or equivalent education in statistical/computational science and have strong interest in medical and biological problems. Description of the Department and working group The Department of Medical Epidemiology and Biostatistics presently employ approximately 250 staff with 15 full professors and over 40 graduate students. The department is one of the biggest departments of epidemiology in Europe. Unique resources and prerequisites – such as the Swedish Twin Registry, several large prospective studies, ongoing nation-wide case-control studies, large nation-wide databases including the Cancer Registry and the In-patient discharge registry, record linkage capabilities and access to clinical data as well as biological material – are effectively explored at the department. Further information can be found at: www.ki.se/meb The biostatistics group comprises 3 professors, 4 senior lecturers, 5 PhD-level statisticians, 4 masters-level statisticians, and 7 doctoral students. The group is involved in a wide variety of research projects, including population-based cohort and case-control studies, twin and family studies, survival analyses, predictive modeling, genetic epidemiology and bioinformatics. Contact: For further information regarding this position, please contact Professor Juni Palmgren, e-mail [log in to unmask] or Docent Keith Humphreys, e-mail [log in to unmask] Union representatives: Ulrika Zagai (SACO), e-mail [log in to unmask] Tel: 08-524 871 84 Ann Almqvist (OFR/ST-AT), e-mail [log in to unmask] Tel: 08-524 861 99 Gunnar Stenberg (SEKO), e-mail [log in to unmask] Tel: 08-524 880 75 Please send your application, marked with reference number 533/2012, to [log in to unmask] or Karolinska Institutet, Åsa Misic, Box 281, 171 77 Stockholm, Sweden. Applicants should send a cover letter, curriculum vitae and statement of research interest which should reach us by no later than 2012-02-19 You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.