Molecular Clinical Variant Cur – City Of Hope – Duarte, CA

Oct 20th, 2016 | By | Category:
Job ID: 6116
Job date: 2016-10-18
End Date:

Company : City of Hope 

Country :

Role : Research Scientist 

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Job Description:
The Clinical Variant Curator assists the clinical and developmental operations of the Clinical Diagnostic Molecular Genetics Laboratory (CMDL) to accurately identify and precisely classify variants/mutations detected through standard molecular genetic testing.

Duties include assisting clinical laboratory leadership as a resource for ongoing test development and clinical testing pipelines in conjunction with the interpretation and classification of genetic variants.
Use comprehensive knowledge of scientific theory and departmental policies and procedures to curate genetic variants/mutations detected through standard molecular genetic testing using information from existing databases and from literature. Participate as a productive member of the work team. Maintain continued involvement in professional development through participation in educational opportunities to ensure continued adherence to standards and provision of quality laboratory care. Follow policies/procedures/regulatory requirements and perform other work assignments. Curate genetic variants/mutations applicable to the CMDL offerings. Follows established City of Hope and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace Code of Conduct and Compliance Plan. Practices a high level of integrity and honesty in maintaining confidentiality.

Minimum Education and Skills Required for Consideration:

Minimum Education: Master’s Degree or Ph.D in Biological Sciences and familiarity with Germline databases, Sanger Sequencing and Next-generation sequencing (NGS).

Minimum Experience: Knowledge of principles and practices of computational biology as applied to genetics/genomics. An understanding of bioinformatics analysis to identify variants within genomic data sets, and variant effect prediction algorithms. 2 years of sequencing data interpretation is desirable. Laboratory and/or clinical experience in cancer genetics. The ability to critically read, understand, and interpret data from scientific publications. Cross-disciplinary and strong analytical skills as well as broad experience using computational methods, databases, software and hardware.

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