Molecular Genetics Analysis Assistant

Baylor Genetics; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

Baylor Genetics, a leader in clinical molecular genetics, seeks a Molecular Genetics Analysis Assistant to perform quality control and review sequencing data according to HGVS standards, order confirmations, and monitor clinical case status.

The role emphasizes advanced variant analysis, data interpretation, and mentoring colleagues to improve analytical quality and operational performance within the CGI division.

Qualifications

• BS in Genetics or related field; advanced degrees preferred.
• 5+ years of relevant experience in clinical genomics.
• Advanced experience in genomic variant analysis with HGVS notation; IGV review.
• Ability to train and mentor colleagues; drive workflow improvements.
• Strong understanding of clinical genomics workflows and testing methodologies.
• Excellent reading/writing of medical language.

Responsibilities

• 25%: quality control review of clinical samples and NGS data.
• 50%: analyze clinical genomics data, including HGVS variant identity, IGV checks, trinucleotide repeat analysis, ordering confirmations.
• 25%: case tracking and monitoring turnaround times.

Skills

HGVS nomenclature

IGV review

Variant analysis

Genomics workflows

Data quality assessment

Communication skills

Microsoft Office

Bioinformatics

Scripting

CNV concepts

ACMG guidelines

Pharmacogenomics

Education

Bachelor's in Genetics

Master’s/PhD/MD/MB(ASCP)

Tools

IGV

CNV tools

Python/R scripting

MS Office

Excel

Job description

Summary

Baylor Genetics, one of the world leaders in clinical molecular genetics, is excited to announce an opening in the Clinical Genomics Interpretation (CGI) division. The Molecular Genetics Analysis Assistant 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.

Job Details

Description

Summary

Baylor Genetics, one of the world leaders in clinical molecular genetics, is excited to announce an opening in the Clinical Genomics Interpretation (CGI) division. The Molecular Genetics Analysis Assistant 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.

Duties And Responsibilities

• 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

Qualifications/Experience

• Degree: Bachelor of Science (BS) in Genetics or related field. Desired: Master’s, PhD, MD, and/or MB(ASCP).
• 5+ years of relevant experience
• Track record of delivering high-quality results and leading projects to achieve organizational goals. Advanced experience in genomic variant analysis, including variant identification, application of HGVS nomenclature standards, IGV review, and complex data interpretation. Broad knowledge of clinical genomics workflows and testing methodologies.
• Proven ability to train and mentor colleagues, develop technical expertise within teams, and implement workflow and process improvements that improve quality, efficiency, and operational performance.
• Expertise in concepts of clinical medicine, genetics, genomics, or molecular biology.
• Experience in data quality assessment and communicating genetic details effectively.
• Excellence in reading/writing medical language.
• Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook).
• Desired: experience in bioinformatics analysis, variant effect prediction algorithms, and scripting languages
• Desired: Knowledge of copy number variation (CNV) concepts.
• Desired: Familiarity with American College of Medical Genetics (ACMG) variant curation guidelines.
• Desired: Knowledge of genomic variation and its correlation with human disease.
• Desired: Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred

Competencies

Quality Assurance, Analytical, Problem Solving, Technical Skills, Interpersonal Skills, Oral and Written Communication, Teamwork, Organizational Support, Safety and Security, Dependability, Innovation, Adaptability.

EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.