Job: Research Fellow: Statistical Geneticist, Queensland Brain Institute, University Of Queensland
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4.3 years ago by
brookeellem0 wrote:

The Queensland Brain Institute (QBI) was established as a research institute of the University of Queensland in 2003. The Institute is now operating out of a new state-of-the-art facility and houses 31 Principal Investigators with strong international reputations. The QBI is one of the largest neuroscience institutes in the world dedicated to understanding the mechanisms underlying brain function. Details of the current QBI interdisciplinary research programs can be found at

The role An opportunity currently exists for an experienced Research Fellow to be part of the Mowry Group at QBI, whose primary research goal is to identify and functionally characterize susceptibility genes for schizophrenia and related disorders. One prime area of interest is whole exome sequencing. The group has just been awarded significant Australian Health and Medical Research Council (NHMRC) funding (2014-2016) for genetic analysis of de novo and inherited protein-coding sequence variation in schizophrenia.

The successful applicant will be expected to be involved in this project, and generally to provide expert advice to QBI staff and researchers from its collaborating groups. Together with the Group Leader, the appointee will help develop the strategic plan for the direction of the overall research program. Using high-level knowledge of research issues in the field, and incorporating current advances in knowledge of schizophrenia genetics, the successful applicant will be responsible for applying advanced statistical methods to the analyses of data in the genetics of schizophrenia.

The person Applicants must hold a PhD in a relevant field and have extensive postdoctoral experience with demonstrated evidence of research productivity, including publications and conference presentations. The ability to collaborate successfully with international researchers and external agencies to develop co-operative research initiatives his deemed necessary to succeed in this position.

Enquiries To discuss this role, please contact Professor Bryan Mowry.

To apply go to to obtain a copy of the position description and application process. Job no: 495220

Applications close Sunday, November 17, 2013.

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