Institution/Company:

University Health Network

Location:

Toronto

, Ontario

 Canada

Job Type:

Postdoctoral

Degree Level Required:

PhD

175 days ago Apply now

Description:

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.

Responsibilities:

  • 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

Qualifications:

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.

Additional Information:

How to Apply

Interested applicants should submit a CV and cover letter that details their experience. Please include ‘PDF application’ in the subject line

Keywords:

Analysis

Cancer

Computational

Genomics

Oncogenesis

Research

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