Clinical Genomics Variant Scientist
Apply NowLocation:
Los Angeles, CA, US
Company:
Avispa Technology provides talent acquisition services to leading companies in various industries.
Summary:
The Clinical Genomics Variant Scientist will analyze and report clinical molecular test results and draft clinical reports. Candidates need a Ph.D. or M.S. in a relevant field and experience with hematologic malignancies.
Requirements:
Hard Skills: next-generation sequencing (NGS) technologies, bioinformatics tools
Credentials: Ph.D., M.S.
Experience: Experience in hematological malignancy somatic variant classification, particularly in the context of hematologic cancers.
Job Description:
Clinical Genomics Variant Scientist 2931009
- Hourly pay: $70/hr
- Worksite: One of the most prestigious and well-known universities (Los Angeles, CA 90095 - Remote)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 6 Month Assignment
One of the most prestigious and well-known universities is seeking a Clinical Genomics Variant Scientist. The successful candidate will be a key member of a team of clinical laboratory scientists, molecular biologists, medical geneticists, molecular pathologists, and bioinformatics engineers working together to analyze and report clinical molecular test results based on next-generation sequencing (NGS) assays. The company offers a great work environment!
Clinical Genomics Variant Scientist Responsibilities:
- Operate in two major areas:
- (1) Variant curation and interpretation of somatic variants detected by in-house Hematologic Malignancy NGS tests.
- (2) Clinical report drafting.
- Analyze and report clinical molecular test results based on next-generation sequencing (NGS) assays.
Clinical Genomics Variant Scientist Qualifications:
- A Ph.D. or M.S. degree in human genetics, molecular biology, neurogenetics, genetic counseling, cancer cell biology, molecular pathology, medical pharmacology, or other related fields.
- Experience in hematological malignancy somatic variant classification, particularly in the context of hematologic cancers.
- Familiarity with next-generation sequencing (NGS) technologies.
- Proficiency in bioinformatics tools.