University Health Network
Toronto
, Ontario
 Canada
Postdoctoral
PhD
The Latner Thoracic Surgery Laboratories at the University Health Network in Toronto is inviting applications for a Post-Doctoral Fellow. The successful candidate will lead a project defining genomic and transcriptomic features in esophageal adenocarcinoma. Our samples include laser capture microdissected whole genome and RNA-seq samples from pre-treatment primary tumour biopsies, post-treatment surgical resections, and metastatic biopsies. We have current sequenced approximate 40 whole genomes with matched germline data and 50 whole transcriptomes with a goal to reach NN samples. The candidate will be part of an integrative group including members from a comprehensive clinical program in esophageal cancer, experts in esophageal adenocarcinoma patient derived organoid models, cancer biologists, and bioinformaticians. The successful candidate will be supervised by a clinician-scientist PI and a bioinformatics/genomics PI.
- Design and perform computational analyses with the principal investigators
- Keep appropriate records, code, and documentation
- Contribute to the development of Whole Genome and Transcriptome analysis pipelines on a high-performance computational cluster
- Analyzes, interprets, and summarizes sequencing data
- Develop novel and deploy existing methods/algorithms to analyze tumour evolution in the context of somatic mutations, structural variants, and copy number changes.
- Assist in the preparation of publications, conference abstracts and grant proposals
The candidate should have demonstrated experience in cancer biology and bioinformatics, including the analysis of cancer whole genome sequencing data. Candidates must have a Ph.D. in a similar field and work well in team environments with great interpersonal skills and excellent written and verbal communication.
How to Apply
Interested applicants should submit a CV and cover letter that details their experience. Please include ‘PDF application’ in the subject line
Analysis
Cancer
Computational
Genomics
Oncogenesis
Research
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