2 meilleures offres (bioinformatics analyst, canada) (à pourvoir)

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : bioinformatics analyst (canada)

En vous connectant à votre compte, vous acceptez les conditions d'utilisation, la politique relative aux fichiers témoins et la politique de confidentialité de SimplyHired.

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)