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Genome Analyst - Molecular Diagnostics - Regular Full-Time 2026-17076

Toronto, ON
  • To be discussed
  • Full time

  • Published since 1 day(s)

  • 1 position to fill as soon as possible

Summary of Duties

The Genome Analyst in Molecular Diagnostics will:

  • Analyze NGS data from somatic and germline panels to identify, annotate, and classify genetic variants using established guidelines (e.g., ACMG/AMP), review of scientific literature, public databases (e.g., ClinVar, gnomAD, COSMIC, etc.), and internal resources to assess variant pathogenicity and clinical significance.
  • Maintain in-house NGS and variant databases
  • Collaborate with multidisciplinary teams to integrate genomic findings into electronic medical records locally and provincially and support clinically-relevant reporting.
  • Participate in assay validation, troubleshooting, and continuous improvement of genomic testing processes in an accredited laboratory environment.  Assist in the adoption of genome-wide sequencing and other future technologies at Sunnybrook.
  • Participate in teaching of students, medical technologists, residents and fellows
  • Participate in multidisciplinary tumor board to effectively communicate genomic findings to the clinical team
  • Contribute to research initiatives, including searching NGS database, genotype-phenotype correlations and publication of findings.

 

Qualifications/Skills

  • A Masters or Ph.D. degree in molecular, human genetics or related discipline, such as cancer-related fields (e.g. cancer cell biology, cellular and molecular pathology, molecular cancer biology, molecular and medical pharmacology) or bioinformatics / computational biology
  • Background and expertise in bioinformatics will be an asset, but not required.  Computer programming and database design experience is desirable.
  • Current knowledge and experience with NGS analysis
  • Knowledge and experience with molecular genetic variant assessment techniques
  • Proficiency with IGV and UCSC genome browsers, knowledge of an experience with the use of genetic databases / resources and software (e.g. Alamut, COSMIC)
  • Prior working experiences in clinical genomic laboratory
  • Excellent communication skills (writing and presentation)

Requirements

Level of education

undetermined

Diploma

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined