Molecular Genetics Analysis Assistant

Baylor Genetics

Sr. Molecular Genetics Analysis Assistant at Baylor Genetics performing quality control and analyzing genomic data.

Posted 6/30/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing clinical genomics data, including variant identity and pharmacogenomics, while ensuring compliance with HGVS standards and effective communication of genetic details. Proficient in data quality assessment and familiar with bioinformatics analysis and variant effect prediction algorithms.

Highest-signal resume keywords

Bachelor Of Science In Genetics7+ Years Of Relevant ExperiencePharmacogenomics Variant CallingHGVS Variant Nomenclature StandardsData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Genetic Sequencing Data AnalysisVariant Identity DeterminationTrinucleotide Repeat AnalysisVariant Effect Prediction AlgorithmsBioinformatics Analysis

Soft Skills

Effective Communication

Tools & Technologies

Microsoft OfficeIGV

Industry Keywords

Clinical GenomicsMolecular BiologyCopy Number VariationGenomic VariationAmerican College Of Medical Genetics Guidelines

About the role

Key responsibilities & impact

Performs quality control, reviews genetic sequencing data to determine variant identity based on HGVS standards, orders variant confirmations, and monitors the status of clinical cases.
25% : quality control review of clinical samples and NGS data
50% : analyzing clinical genomics data, including variant identity using HGVS standards, variant checking in IGV, trinucleotide repeat analysis, and ordering confirmation testing
25% : case tracking and turnaround time monitoring.

Requirements

What you’ll need

Bachelor of Science (BS) in Genetics or related field.
7+ years of relevant experience
Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred.
Familiarity with HGVS variant nomenclature standards is required.
Expertise in concepts of clinical medicine, genetics, genomics, or molecular biology.
Experience in data quality assessment and communicating genetic details effectively.
Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).
Desired: experience in bioinformatics analysis, variant effect prediction algorithms, and scripting languages.
Desired: Familiarity with American College of Medical Genetics (ACMG) variant curation guidelines.
Desired: Knowledge of copy number variation (CNV) concepts.
Desired: Knowledge of genomic variation and its correlation with human disease.

Benefits

Comp & perks

Equal Opportunity Employer