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ALLSTAT  October 2010

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Subject:

2 JOBS: Phd Studentship and Postdoctoral Position - Statistical Genetics, QIMR, Brisbane, Australia

From:

Stuart Macgregor <[log in to unmask]>

Reply-To:

Stuart Macgregor <[log in to unmask]>

Date:

Wed, 27 Oct 2010 07:07:29 +0100

Content-Type:

text/plain

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Two new positions are available at QIMR, Brisbane Australia - A PhD studentship and a postdoctoral position.


Postdoctoral Researcher (Research Officer)  -  Statistical Genetics QIMR, Brisbane, Australia.

Queensland Institute of Medical Research (QIMR), Brisbane, Australia 

Title: Statistical methods for cancer genetics

Description: Advances in technology which allow typing of millions of markers simultaneously have revolutionized gene mapping in human genetics, making it one of the most exciting and fast moving fields in science. Genetic studies are done in our laboratory by using statistical and computational methods to link disease and trait phenotypes to high density genetic data. The successful applicant will develop and apply methods for conducting and interpreting genetic association studies (gene-based analysis, pathway analysis, genetic risk profiling).

The project will focus primarily on applications in cancer genetics (melanoma, ovarian cancer, breast cancer). Specific projects include large scale genetic association studies and studies of the effects of DNA methylation on cancer risk.

The postholder will be based in the genetic epidemiology department (http://genepi.qimr.edu.au) at QIMR, Brisbane. QIMR is one of the largest medical research institutes in the southern hemisphere, with programs in areas such as cellular and molecular sciences, epidemiology and population health, cancer biology, biotechnology, infectious diseases and vaccine development. The genetic epidemiology department is the single largest grouping at QIMR and employs several internationally renowned researchers in the field.

For informal enquiries, please contact Dr Stuart Macgregor ([log in to unmask]) http://genepi.qimr.edu.au/staff/?staffusername=stuartMa

Research Areas: Statistical Genetics, Genetic Epidemiology, Cancer Genetics.

Suitable background: The post is ideally suited to someone with a PhD in genetic epidemiology, statistics, bioinformatics  or cancer genetics. Preference will be given to applicants with a very good publication record relative to opportunity. Experience in cancer genetics advantageous but not essential. Non-statistical applicants must be able to demonstrate some knowledge of statistics.

Grade: QIMR Research Officer – salary AUD 64,000-69,000 depending on experience.

Funding  for this post is available for 24 months.

To apply see
https://recruitment.qimr.edu.au/viewjob.aspx?jobid=71
In your application please 
i) Describe your research interests
ii) Indicate your level of competence in statistics, in computing/programming and in biology/genetics
iii) Include details of 3 academic referees

Closing date: 8th December 2010.



**********************************************************************************************************************



PhD Scholarship Statistical Genetics - QIMR, Brisbane, Australia.

Queensland Institute of Medical Research (QIMR), Brisbane, Australia / University of Queensland, Brisbane, Australia.

Primary supervisor:Dr Stuart Macgregor http://genepi.qimr.edu.au/staff/?staffusername=stuartMa [log in to unmask]
Associate supervisors at QIMR may include: Prof Georgia Chenevix-Trench, Prof Nick Hayward

Applications: Open until position filled.

Stipend: Fully funded stipend available - AUS$25K per annum tax free. Funding is for 3 years.

Title: Statistical and computational methods in genetic epidemiology

Description: Advances in technology which allow typing of millions of markers simultaneously have revolutionized gene mapping in human genetics, making it one of the most exciting and fast moving fields in science. Genetic studies are done in our laboratory by using statistical and computational methods to link disease and trait phenotypes to high density genetic data. The successful applicant will develop and apply methods for conducting and interpreting genetic association studies (gene-based analysis, pathway analysis, genetic risk profiling). 

Areas of interest include ophthalmology (several ongoing studies – so far in 2010 we have identified novel genes underlying glaucoma, short-sightedness, optic nerve size and corneal thickness), cancer (multiple studies in melanoma, ovarian cancer, including a number of new genome-wide methylation studies) and psychiatry.

The student will be based in the genetic epidemiology department (http://genepi.qimr.edu.au) at QIMR, Brisbane. QIMR is one of the largest medical research institutes in the southern hemisphere, with programs in areas such as cellular and molecular sciences, epidemiology and population health, cancer biology, biotechnology, infectious diseases and vaccine development. The genetic epidemiology department is the single largest grouping at QIMR and employs several internationally renowned researchers in the field.

Research Areas:
Statistical Genetics, Genetic Epidemiology, Bioinformatics.
Suitable first degree/background:
Applicants must hold at least a second class honours degree and/or relevant Masters degree in
statistics, biological sciences, mathematics, computer science or a related field. Knowledge of genetics advantageous but not essential. Biological sciences applicants must be able to demonstrate some knowledge of statistics. If English is not your first language then you must supply a recognised competency score (see http://www.maths.uq.edu.au/postgraduate/phd/PGHandbook.pdf )

To apply see
https://recruitment.qimr.edu.au/viewjob.aspx?jobid=72
In your application please 
i) Write (at least) a paragraph on why you want to undertake a PhD in statistical genetics
ii) Describe your research interests
ii) Indicate your level of competence in statistics, in computing/programming and in biology/genetics
iii) Include details of at least 2 academic referees

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

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