Clinical Genomic Scientist II – WGS Analysis

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🧬 Biotechnology

🔬 Science

Biotechnology • Science

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• The Clinical Genomics Scientist II analyzes clinical genetics data, curates variants and genes, and summarizes findings for clinical reports. • Assist laboratory directors and R&D with validation of cutting-edge technologies and software platforms. • Curation (50%): curation of variants, genes, and gene-disease correlation following ACMG guidelines. • Analysis (30%): analyzing clinical genomics data, selecting variants for curation/confirmation, variant nomenclature following HGVS guidelines. • Other (20%): may involve clinical report drafting, test validation, process refinement, presenting findings, monitoring test turnaround time and task delegation.

🎯 Requirements

• Required PhD or MD in clinical medicine, genetics, molecular biology or equivalent. • 2-4 years of variant curation experience. • Preferred MB(ASCP) certification. • Familiarity with American College of Medical Genetics (ACMG) variant curation guidelines. • Knowledge of genomic variation and its correlation with human disease. • Expertise in concepts of clinical medicine, genetics, genomics, or molecular biology. • Experience in data quality assessment and communicating genetic details effectively. • Excellence in reading and writing medical language. • Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook). • Desired: experience in bioinformatics analysis, variant effect prediction algorithms, and scripting languages.

🏖️ Benefits

• Equal Opportunity Employer