Bioinformatician (Research Fellow)

The Hospital for Sick Children
Toronto, ON, Canada
Job Type:
  • Postdoctoral (The most advanced degree must have been conferred within the last 3 years.)
Degree Level Required:
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Bioinformatician (Research Fellow)

Our brain tumor research laboratory is currently seeking outstanding young scientists to join our group as Bioinformatic Research Fellows focused on computational cancer genomics. Successful candidates will be recent PhD graduates with high levels of energy and curiosity, and who are interested in making fundamental discoveries in understanding the molecular biology of brain tumours, and in pursuing eventual independent careers in academic research.

We are looking for a post-doctoral fellow to work on the analysis of long-read whole genome sequence datasets (PacBIO, Nanopore, 10X linked reads) from patient tumor samples on which we want you to perform de novo assembly and annotation to increase our understanding of brain tumors. Fellows from our lab publish in very high impact journals (Nature, Cancer Cell, Cell) and routinely go on to run their own labs as independent PI’s.

Come and join us, and be part of a fun, dynamic and dedicated world-renowned team.


• Develop new and innovative strategies for the assembly of long-read datasets to determine structural rearrangements of the genome in cancer.
• Mining, analysis and interpretation of data (whole-genome, whole-exome, PacBIO long read sequence) in light of tumour evolution, with the aim of understanding the underlying dynamics of tumour growth, relapse, metastases and progression.


• PhD with previous training in bioinformatics, computer science, statistics or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years.

• Experience with large-scale genomic data required.
• Working proficiency in R is recommended (working knowledge of Python/C++ also beneficial).
• Must be highly familiar with BASH/Unix based environments.
• Must have a thorough understanding of assembly methods, including hybrid assembly strategies.
• Familiarity with bioinformatics tools (e.g. NextGenMap-LR, BWA, Delly, Sniffles etc.) would be an asset.
• Experience with integration of multi-omic data would be an asset.
• Prior first author publications are highly desirable.
• Must be self-motivated, well-organized, highly independent, and willing to train new students.
• Excellent communication, written and interpersonal skills are mandatory.
• Candidates with external funding or scholarships to help support their salary will be highly recruited.

  • How to Apply

    Interested candidates should submit their CV including contact information for at least three references, research plan (one to two pages outlining your current research interests and/or research plans for the next 2 years) and cover letter via e-mail to: