Clinical Genomics Scientist III – WGS

Baylor Genetics

Clinical Genomics Scientist analyzing clinical genetics data, curating variants, and summarizing findings for Baylor Genetics. Working remotely with minimal onsite requirements and flexible hours.

Posted 7/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical genomics, including variant analysis and gene-disease correlations, while effectively communicating complex genetic information. Proficient in data quality assessment and familiar with bioinformatics analysis and programming for genomic data processing.

Highest-signal resume keywords

PhD Or MD In Clinical MedicineGenomic Variation KnowledgeClinical Report DraftingData Quality AssessmentExperience With Perl Or Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Variant DetectionMolecular Mechanisms Of DiseaseFunctional AssaysComputational AnalysisBioinformatics AnalysisGenomic Data AnalysisLiterature Curation MethodologiesOntologies For Medical AnnotationNext-Generation SequencingSanger Sequencing

Soft Skills

Effective CommunicationPresentation Skills

Certifications & Qualifications

MB(ASCP)

Industry Keywords

ACMG GuidelinesClinical GenomicsMetabolomicsChromosomal Microarray

Tech Stack

Tools & technologies

PerlPython

About the role

Key responsibilities & impact

Curation of variants, genes, and gene-disease correlations following ACMG guidelines
Analyzing clinical genomics data, including next-generation sequencing, Sanger sequencing, metabolomics, and chromosomal microarray
Clinical report drafting
Validation, process refinement, presenting findings at meetings, and performing other duties as needed

Requirements

What you’ll need

PhD or MD level degree in clinical medicine, genetics, molecular biology, or an equivalent subject
Relevant experience: 4-7 years
Certification (optional): MB(ASCP)
Knowledge of genomic variation and its relationship to human disease
Knowledge of literature curation methodologies
Knowledge of variant detection, molecular mechanisms of disease, functional assays, and computational analysis
Technical expertise in clinical medicine, genetics, genomics, or molecular biology
Experience with data quality assessment
Proficiency in communicating an understanding of genetics details
Experience in the application of ontologies for medical/biological annotation
An understanding of bioinformatics analysis to identify variants within genomic data sets, and variant effect prediction algorithms (desired)
Experience with use of Perl, Python, or other programming language (desired)
Ability to create scripts and process large quantities of data (desired)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development