Clinical Genomics Variant Scientist Job at UCLA Health, Los Angeles, CA

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  • UCLA Health
  • Los Angeles, CA

Job Description

Job Description

Description

The Molecular Diagnostics Laboratory is seeking an experienced Variant Scientist to join our clinical team. In this critical role, you will curate and interpret germline and somatic variants and prepare high-quality clinical reports derived from exome and targeted cancer sequencing assays. You will contribute to variant classification, test development efforts, and clinical research projects that advance precision medicine for patients across UCLA Health and beyond. Primary duties include:

•\tReview and assess patient clinical notes and sequencing data from high-complexity molecular assays, including Clinical Exome Sequencing, Solid Tumor Sequencing Panels, and Hematologic Malignancy Sequencing Panels.

•\tPerform variant curation and interpretation using established guidelines and evidence-based resources.

•\tDraft and refine clinical reports, ensuring accuracy, clarity, and clinical relevance.

•\tDevelop and update SOPs for variant curation, interpretation, and reclassification workflows

•\tParticipate in submitting curated variants to public databases (e.g. ClinVar) and contribute to quality improvement and test development initiatives.

•\tCollaborate with clinicians, genetic counselors, and laboratory staff to support accurate and timely reporting.

•\tContribute to clinical research projects and assist in implementing new molecular diagnostic assays.

Salary Range: $105,700.00 - $234,500.00/year 

 

Qualifications

•\tAt least two years’ experience in germline variant curation is required. Somatic variant curation experience is a plus.

•\tStrong working knowledge of laboratory genetics and genomics, including target capture, amplification, and massively parallel sequencing.

•\tFamiliarity with widely used genomic tools such as IGV and UCSC/COSMIC genome browsers

•\tAbility to establish effective working relationships with clinicians, genetic counselors, and other team members.

•\tProgramming or bioinformatics experience (e.g. R, SAS, Perl, Python, regex, database design) – preferred.

•\tPhD in human genetics, molecular genetics, cancer biology, or a related discipline – preferred. Master’s degree in molecular biology, genetics, or a closely related field may be considered with relevant experience.

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