The Project
A dataset of 125 exomes derived from between and within patient samples will be used to study the genetic landscape of Squamous cell carcinoma (SCC) and the relationship between UV damaged skin, Actinic keratosis (AK) and SCC.
The candidate will develop algorithms to perform quality control of sequence data and methods to capture a comprehensive set of mutations in these samples. Methods to control of false positives and coincidental findings will be developed using a resource of 2000 control exomes that have been sequenced at The University of Queensland Centre for Clinical Genomics (UQCCG).
The candidate will then develop statistical methods to search for biomarkers that can be used to identify the transition between tumour states and study the heterogeneity between tumours using SNPs, structural variations and copy number information. The project will be performed in collaboration with the Genomic Medicine program and Cancer program at UQDI.
This analysis will require the use of high performance computing and programming in R and Perl.
The Person
The candidate will have a 1st Class Honours degree or equivalent in science, and should be eligible for an Australian Postgraduate Award (APA) or University of Queensland Research Scholarship (UQRS). We will consider students from a wide range of backgrounds, including: mathematics, statistics, epidemiology, computer science, bioinformatics, physics, genetics, and molecular biology. Applicants should be fluent in English.
Remuneration
The base stipend will be at the rate of AUD$24,653 per annum (2013 rate) tax-free for three years with the possibility of a six month extension in approved circumstances. Top-up salary may be available to suitably qualified candidates.
A dataset of 125 exomes derived from between and within patient samples will be used to study the genetic landscape of Squamous cell carcinoma (SCC) and the relationship between UV damaged skin, Actinic keratosis (AK) and SCC.
The candidate will develop algorithms to perform quality control of sequence data and methods to capture a comprehensive set of mutations in these samples. Methods to control of false positives and coincidental findings will be developed using a resource of 2000 control exomes that have been sequenced at The University of Queensland Centre for Clinical Genomics (UQCCG).
The candidate will then develop statistical methods to search for biomarkers that can be used to identify the transition between tumour states and study the heterogeneity between tumours using SNPs, structural variations and copy number information. The project will be performed in collaboration with the Genomic Medicine program and Cancer program at UQDI.
This analysis will require the use of high performance computing and programming in R and Perl.
The Person
The candidate will have a 1st Class Honours degree or equivalent in science, and should be eligible for an Australian Postgraduate Award (APA) or University of Queensland Research Scholarship (UQRS). We will consider students from a wide range of backgrounds, including: mathematics, statistics, epidemiology, computer science, bioinformatics, physics, genetics, and molecular biology. Applicants should be fluent in English.
Remuneration
The base stipend will be at the rate of AUD$24,653 per annum (2013 rate) tax-free for three years with the possibility of a six month extension in approved circumstances. Top-up salary may be available to suitably qualified candidates.