Job ID:
Job date: 2018-01-02
End Date:
Company : Princess Margaret Cancer Centre Country : Role : Postdoc
Job date: 2018-01-02
End Date:
Company : Princess Margaret Cancer Centre Country : Role : Postdoc
Job Description:
Two funded positions are available in the De Carvalho Lab at Princess Margaret Cancer Centre: Bioinformatics Postdoctoral Fellow and Bioinformatics Research Associate. The focus of the projects are in translational cancer epigenomics, with multiple projects available in Methylome profiling of cancer cells and circulating cell-free DNA (‘liquid biopsy’) for cancer classification, early detection and disease monitoring; Cancer Epigenetics therapy to target cancer stem cells and to increase anti-tumour immune response. The projects will include epigenomic approaches such as ChIP-seq, ATAC-seq, CUT&RUN, RRBS, WGBS among others and functional approaches such as CRISPR screening. The research will be conducted at the Princess Margaret Cancer Centre, a research hospital affiliated to the University of Toronto, in one of the most liveable cities in the world. The ideal candidate should have: · PhD in computational biology, bioinformatics, biostatistics, cancer biology, epigenomics, genomics, or a related field; · Experience with epigenomics and transcriptomics data analysis from ChIP-seq, ATAC-seq, RRBS, WGBS, RNA-seq experiments; · Experience with large data-sets (e.g., ENCODE, TCGA, GTEx); · Experience with Machine Learning/Deep Learning applied to biology or oncology; · Proficiency in a general-purpose programming language and scientific data processing ecosystem (e.g. R, R-studio); · Good publication record.
Additional Info:
Location: Toronto, ON TO APPLY: Those interested in the position described should submit full CV and cover letter to Dr. Daniel D. De Carvalho (epigenome.search@gmail.com)[Click Here to Access the Original Job Post]
Two funded positions are available in the De Carvalho Lab at Princess Margaret Cancer Centre: Bioinformatics Postdoctoral Fellow and Bioinformatics Research Associate. The focus of the projects are in translational cancer epigenomics, with multiple projects available in Methylome profiling of cancer cells and circulating cell-free DNA (‘liquid biopsy’) for cancer classification, early detection and disease monitoring; Cancer Epigenetics therapy to target cancer stem cells and to increase anti-tumour immune response. The projects will include epigenomic approaches such as ChIP-seq, ATAC-seq, CUT&RUN, RRBS, WGBS among others and functional approaches such as CRISPR screening. The research will be conducted at the Princess Margaret Cancer Centre, a research hospital affiliated to the University of Toronto, in one of the most liveable cities in the world. The ideal candidate should have: · PhD in computational biology, bioinformatics, biostatistics, cancer biology, epigenomics, genomics, or a related field; · Experience with epigenomics and transcriptomics data analysis from ChIP-seq, ATAC-seq, RRBS, WGBS, RNA-seq experiments; · Experience with large data-sets (e.g., ENCODE, TCGA, GTEx); · Experience with Machine Learning/Deep Learning applied to biology or oncology; · Proficiency in a general-purpose programming language and scientific data processing ecosystem (e.g. R, R-studio); · Good publication record.
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Additional Info:
Location: Toronto, ON TO APPLY: Those interested in the position described should submit full CV and cover letter to Dr. Daniel D. De Carvalho (epigenome.search@gmail.com)[Click Here to Access the Original Job Post]