CSIRO Mathematics, Informatics and Statistics (CMIS)
The EpiSCOPE project is investigating the relationships between obesity, epigenetics, and embryonic, fetal and neonatal nutrition. We are looking for a postdoctoral fellow to work as part of a bioinformatics and statistics team to help analyse the epigenetic (and other) sequence data that the biologists will be generating. This project is running in parallel with another project on integrating ‘omics sequence data and there will be considerable collaboration and sharing between these two projects.
The appointee will provide statistical and bioinformatics input to a multidisciplinary team working to understand the epigenome of human adipose tissue. The initial project will be to develop high resolution epigenome maps, including both methylation and chromatin marks. This epigenome data will be integrated with transcriptome data to get an understanding of the normal state of adipose tissue. Later work will involve comparing these maps with those for other tissue types, and with the maps for sheep (also generated as part of this project). These results will then be compared to larger numbers of samples, and also against patients with obesity and type 2 diabetes to identify epigenetic signatures, and alterations in gene expression and networks, associated with these conditions. These results will then be used to develop candidate predictive biomarkers.
Duties and Key Result Areas:
Please note: Under CSIRO policy only applicants who meet all the essential criteria can be appointed
PhD and/or equivalent in statistics, bioinformatics or a related field.
Demonstrated conceptual and practical knowledge and skills in statistical methods and the analysis of biological data from high throughput biological data collection platforms.
Excellent interpersonal, written and oral communication, negotiation and representational skills
Demonstrated ability to work as part of a multi-disciplinary research team.
Strong programming skills in Perl, R, S+ or similar languages applicable to statistics and bioinformatics
Experience in analysis of short-read sequence data and epigenetic datasets
Experience in applying variable selection methods to large biological datasets
CSIRO is a values based organisation. In your application and at interview you will need to demonstrate behaviours aligned to our values of
How to Apply:
Please apply for this position online at www.csiro.au/careers. You may be asked to provide additional information (online) relevant to the selection criteria. If so, then responding will enhance your application so please take the time to provide relevant succinct answers. Applicants who do not provide the information when requested may not be considered.
If you experience difficulties applying online call 1300 301 509 and someone will be able to assist you. Outside business hours please email: firstname.lastname@example.org. Please note only two documents can be attached to your application.
If you do not already have the names and contact details of two previous supervisors or academic / professional referees included in your resume/CV please add these before uploading your CV.
If after reading the selection documentation you require further information please contact Paul Greenfield by email at Paul.Greenfield@csiro.au or by phone at +61 2 9325 3250.
Please do not email your application directly to Paul Greenfield. Applications received via this method will not be considered.
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About CSIRO Mathematics, Informatics and Statistics (CMIS):
CMIS creates and uses innovative mathematical sciences to tackle Australia’s big challenges like climate change, biosecurity, water security, energy for the future and many more. It provides expertise in statistics, mathematics, informatics and computational science to collaborators and customers in a range of areas including industrial processing, healthcare, biotechnology, environmental monitoring and Government and commercial services. One of 13 CSIRO divisions, CMIS has over 180 staff working across 7 cities.