Bioinformatician

Institution/Company:
Hospital for Sick Children
Location:
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
PhD
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Bioinformatician

We are looking for a highly motivated bioinformatician with practical experience in the processing and analysis of large genomic datasets including next-generation sequencing datasets to join a dynamic laboratory at the Hospital for Sick Children.

Our group focuses on the biology of brain tumours of children and adults, with a primary aim to understand how the molecular programs in normal neural stem cells cause and sustain the growth of these hard-to-treat cancers. In addition, we are interested in brain tumour heterogeneity and how the diverse cell types that comprise these tumours contribute to tumour maintenance and therapeutic resistance.

Responsibilities:

Here’s What You’ll Get To Do: • You will be expected to process and analyze large genomic datasets including next-generation sequencing datasets, including the integration of genomic (WGS,WES), transcriptomic (RNA-seq) and epigenomic (DNAm, ATAC) datasets and single cell data analysis and integration • You will work closely with both wet and dry-lab scientists to collaboratively solve complex biological problems • You will work on several large collaborative concurrent projects/priorities • You will manage the dissemination of research findings for publication in peer-review journals and conferences.

Qualifications:

Here’s What You’ll Need: • A PhD in bioinformatics, biostatistics, computational biology or similar, with a strong publication record. Alternately, a PhD in molecular biology combined with experience of high-throughput data analysis, supported by first-  author publication(s) in this area. • Additional postdoctoral experience strongly preferred. • Strong preference for candidates with additional experience in the integration of genomic (WGS,WES), transcriptomic (RNA-seq) and epigenomic (DNAm, ATAC) datasets and single cell data analysis and integration • Experience working in a Unix/Linux environment • Experience with HPC environments • Experience writing code in a high-level programming language such as R or Python for complex data analysis and visualization • Familiarity with public biomedical information resources such as genome browsers, data repositories and annotation databases  • A solid understanding of the relevant concepts in cancer biology, as well as enthusiasm for further learning • Strong communication, data presentation and visualization skills