Molecular Geneticist
Color
How You’ll Contribute
- Participate in Color’s highly structured, evidence-based variant classification processes.
- Participate in technical data review of complex variants.
- Review and approve variant classifications and genetic reports for germline hereditary testing.
- Ensure reporting is accurate, evidence-based, and presented with appropriate clinical nuance for maximal utility to patients and providers.
- Collaborate with genetic counselors and reporting teams on complex and challenging cases.
- Participate in genetics meetings to set standards, policies, and best practices across Color’s genetics programs.
- Work closely with laboratory operations, QA, and bioinformatics teams to ensure consistency and accuracy in data analysis pipelines and reporting.
- Support mentoring and training of laboratory and interpretation staff.
- Provide clinical oversight for validation of new assays and updates to existing workflows.
- Maintain a basic understanding of bioinformatics pipelines to inform interpretation and reporting, ensuring concordance between analytic pipelines and clinical sign-out.
- Ensure compliance with CAP, CLIA, and state licensure (CA, NY).
- Contribute to ongoing quality management programs, proficiency testing, and regulatory inspections.
- Support development and implementation of SOPs, QC, and QM systems aligned with regulatory requirements.
What We’re Looking For:
- PhD or MD required.
- American Board of Medical Genetics and Genomics (ABMGG) certification is required.
- California Department of Public Health License as Clinical Genetic Molecular Biologist (CGMB) is required.
- New York State Department of Health Certificate of Qualification for Genetic Testing is preferred but optional.
- Experience in a clinical molecular genetics laboratory, with responsibility for case sign-out, variant interpretation, and regulatory compliance.
- Extensive expertise with germline hereditary cancer testing, NGS-based workflows, and laboratory quality systems. Experience in high-throughput environments is preferred.
- Familiarity with supporting technologies (Sanger sequencing, MLPA, arrayCGH, long-read sequencing) is a plus.
- Critical thinker with a deep appreciation for the nuances of genetic reporting.
- Strong collaborator across multidisciplinary teams (bioinformatics, QA, R&D, clinical interpretation).
- Excellent written and verbal communication skills; organized and detail-oriented.
- Passion for developing highly scalable systems, with a strong emphasis on software-driven approaches.
- Proven experience utilizing online data exploration and analysis tools, including Google Spreadsheets and Metabase.