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Clinical Genomic Scientist – Clinical Indication
Baylor GeneticsSenior Clinical Genomic Scientist leading variant curation and data analysis within clinical contexts. Mentoring junior team members and providing expertise in genomic data interpretation.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in clinical genomics, variant detection, and the application of ACMG guidelines, with a strong focus on mentorship and communication within a collaborative environment.
Highest-signal resume keywords
PhD Or MD In Clinical Medicine7+ Years Of Experience In Clinical GenomicsVariant Detection And Molecular Disease MechanismsBioinformatics Analysis For Variant IdentificationExceptional Verbal And Written Communication Skills
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Genomic Variation AnalysisNext-Generation SequencingSanger SequencingMetabolomicsChromosomal MicroarrayData Quality AssessmentFunctional AssaysComputational AnalysisLiterature Curation MethodologiesMedical Annotation Ontologies
Soft Skills
MentorshipGuidanceTraining
Certifications & Qualifications
MB(ASCP)
Industry Keywords
ACMG GuidelinesClinical GenomicsGeneticsMolecular BiologyGenomic Datasets
About the role
Key responsibilities & impact- Lead and oversee the curation of variants, genes, and gene-disease correlations following ACMG guidelines
- Perform comprehensive analysis of clinical genomics data involving various techniques such as next-generation sequencing, Sanger sequencing, metabolomics, and chromosomal microarray
- Draft clinical reports, manage validation processes, refine methodologies, and present findings in meetings
- Provide mentorship, guidance, and training to junior team members
Requirements
What you’ll need- PhD or MD in clinical medicine, genetics, molecular biology, or equivalent
- 7+ years of demonstrated experience in the field
- Optional: MB(ASCP)
- Profound knowledge of genomic variation, its impact on human diseases, and expert-level literature curation methodologies
- Mastery in variant detection, molecular disease mechanisms, functional assays, and computational analysis
- Technical expertise in clinical medicine, genetics, genomics, or molecular biology, coupled with extensive experience in data quality assessment
- Exceptional verbal and written communication skills
- Proficient in the application of ontologies for medical annotation and experienced in bioinformatics analysis for variant identification within genomic datasets
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development