Research Supervisor Connect

Large-scale cancer multi-omic analysis for improved prediction of drug response, patient prognosis and clinical outcome

Summary

You will join the cancer data science (CDS) team at the ACRF International Centre for the Proteome of Human Cancer (ProCan) at the Children’s Medical Research Institute (CMRI). ProCan aims to create a global knowledgebase of cancer proteome information from tens of thousands of cancer samples. CDS endeavours to combine proteomic data with other omic datasets, and to develop advanced computational techniques that can predict the most effective cancer treatments for each patient. PhD projects are available.

Supervisor

Dr Qing Zhong.

Research location

Westmead - Childrens Medical Research Institute

Synopsis

At ProCan, we are currently analysing samples from a range of cancer types, including both adult and paediatric tumours. Each project has a specific research focus, with a clinically relevant research goal. The results of these projects will improve our understanding of cancer biology, with the aim of finding new biomarkers that can predict drug response, patient prognosis or clinical outcome in cancer. During your project, you will apply your data analysis skills, grow your understanding of cancer biology, and perform cutting-edge research.

 

PhD projects are currently available. Each project will require an understanding of, or interest in, cancer biology, bioinformatics, machine learning, and/or statistics. One possible project is to examine whether a signature of drug response learned from multi-omic data in human cancer cell lines can be translated for use in cancer tissue samples1. Another possible project will be to investigate the utility of proteomic data for precision medicine applications in paediatric cancer.

 

If you are interested in joining CDS in ProCan, please contact us to discuss a project that will be suitable to your interests and expertise. For all projects, it will be essential to have programming skill (Python or R) and knowledge in data science. Background in cancer biology or proteomics will also be advantageous but not essential.

 

1.     Gonçalves, E. et al. Pan-cancer proteomic map of 949 human cell lines. Cancer Cell (2022) doi:10.1016/j.ccell.2022.06.010.

 

 

Additional information

Children's Medical Research Institute (CMRI) is an award-winning state-of-the-art medical research facility, with over 100 full-time scientists dedicated to researching the genes and proteins important for health and human development. The CMRI is supported in part by its key fundraiser Jeans for Genes®. Our scientists are internationally recognised research leaders and foster excellence in postgraduate training. CMRI graduates are highly sought after nationally and internationally.

 

We welcome enquiries from potential PhD candidates with passion and ambition for a career in computational cancer research.

 

Candidates may apply for a CMRI PhD Research Award, which exceeds the Australian Postgraduate Awards and NHMRC scholarships in value: https://www.cmrijeansforgenes.org.au/research/opportunities-for-research-students/cmri-phd-research-award

Additional Supervisor: Dr. Rebecca Poulos

Email: rpoulos@cmri.org.au

Want to find out more?

Opportunity ID

The opportunity ID for this research opportunity is 3024