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Post-doctoral Biostatistician, Melbourne Salary range: $82,397 - $110,557 per annum plus Super. We are seeking a full time Biostatistician on a 2 year contract to join the Clinical Epidemiology & Biostatistics (CEBU) Research Group at the Murdoch Childrens Research Institute (MCRI), Melbourne. This is a new role designed for an early-career postdoctoral biostatistician who wishes to pursue methodological research while also providing collaborative support to a major epidemiological research study. The position is partially supported by a National Health and Medical Research Council (NHMRC) grant that aims to pursue methodological research relating to problems in the analysis of incomplete data, and by a large ongoing cohort study of young children that is based at the MCRI. The appointee will not only work closely with researchers at the MCRI, but also with colleagues in the broader Victorian Centre for Biostatistics (ViCBiostat), funded as an NHMRC Centre of Research Excellence, within which CEBU is the leading partner. The appointee will also work on the MCRIs Child Health CheckPoint, an internationally significant component of the Longitudinal Study of Australian Children, a nationally representative longitudinal study managed by the Department of Social Services on behalf of the Australian Government. The appointee will work closely with the large team of investigators, research assistants, postdoctoral staff and doctoral/other students in Checkpoint to develop analysis plans and to support and conduct analyses for numerous planned papers from this study. There will be scope for methodological work on problems relating to missing data and longitudinal analysis using Checkpoint data. The appointee will report jointly to A/Prof Katherine Lee and Prof Melissa Wake. To be successful in this position you will have: * Working with Children Check & National Police Clearance (if appointed) * A PhD in biostatistics, statistics or closely related discipline Strong understanding and technical knowledge of complex statistical models and methods for longitudinal data analysis Experience in performing complex data manipulation and analysis in a statistical package with a flexible programming language such as Stata * Record of publication of peer-reviewed scientific articles * Excellent communication skills both written and verbal * Aptitude and enthusiasm for supervision of research students * Demonstrated ability to work independently and collaboratively to achieve project goals and meet agreed deadlines * Experience in collaborative research involving the application of statistical methods in health research, preferably with experience in longitudinal studies, missing data methods or health technology evaluation including randomised trials and meta-analysis (desirable) * Experience in the management of data collection and data analysis activities for research studies (desirable) For further information and to apply for this position, please see https://www.mcri.edu.au/careers/54582016, or contact Katherine Lee ([log in to unmask]<mailto:[log in to unmask]>, +61 3 93456549). Closing date: Sunday 1st May 2016 @ 11:59pm. Please note due to a short advert duration due to internal system changes, if you wish to apply for this position after the close date you can contact Katherine Lee to discuss a late application option. You must contact Katherine prior to the position close date as listed above. ______________________________________________________________________ This email has been scanned by the Symantec Email Security.cloud service. For more information please visit http://www.symanteccloud.com ______________________________________________________________________ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.