Variant Scientist (Research Data Analyst 4)

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Variant Scientist (Research Data Analyst 4)

Location(s): Los Angeles, CA

(Remote)

Overview:

The University Department of Pathology and Laboratory Medicine is seeking a Variant Scientist to support the Molecular Diagnostics Laboratories (MDL) in clinical genomics. This role is ideal for individuals with a strong foundation in somatic variant interpretation for hematologic malignancies and experience in clinical NGS analysis and reporting.

Key Responsibilities:

• Analyze and interpret somatic variants from NGS data, with a focus on hematological malignancies.
• Curate and classify variants using clinical genomics databases and literature.
• Draft clinical reports based on molecular findings.
• Collaborate with a multidisciplinary team including molecular biologists, geneticists, pathologists, and bioinformatics engineers.
• Troubleshoot issues related to data analysis independently.
• Clearly communicate complex genomic findings to clinicians and non-specialists.

• Ph.D. or M.S. in Human Genetics, Molecular Biology, Cancer Cell Biology, Molecular Pathology, Genetic Counseling, or related fields.
• Hands-on experience in hematologic cancer somatic variant classification is mandatory.
• Solid understanding of NGS technologies (e.g., target capture, amplification, massively parallel sequencing).
• Excellent communication, writing, and collaborative skills.
• Ability to work independently with platforms like MS Office, Teams, Zoom, VPN, and other Windows-based applications.

1. Describe your experience working with hematological malignancies and interpreting somatic variants from genetic data.
2. How comfortable are you with analyzing and interpreting genetic data from NGS platforms, particularly in cancer or hematological malignancies?
3. How do you approach curating and classifying somatic variants in a clinical diagnostic setting? What tools or databases do you typically use?
4. Provide an example of a time when you had to communicate complex genetic findings to a non-expert (e.g., clinician, patient)? How did you ensure clarity?
5. Describe a situation where you had to troubleshoot a challenging problem in genetic data analysis. What steps did you take to resolve it.