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Ngs Variant Interpretation Jobs (NOW HIRING)

Scisco Genetics

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Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

... control, variant calling, annotation, and downstream interpretation. * Investigate genetic ... NGS) services and products for genotyping complex immune gene systems, including HLA, KIR, MICAB ...

Tuskegee University

Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation. * Proficiency with bioinformatics tools (e.g., GATK, samtools ...

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Ngs Variant Interpretation information

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$20.5K

$83.3K

$147K

How much do ngs variant interpretation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ngs variant interpretation in the United States is $83,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is NGS variant interpretation?

NGS variant interpretation is the process of analyzing genetic variants identified through Next-Generation Sequencing (NGS) technology to determine their potential impact on health, disease, or traits. This involves filtering, annotating, and classifying variants according to established guidelines, such as those from the American College of Medical Genetics and Genomics (ACMG). Professionals in this field use bioinformatics tools and databases to interpret the clinical significance of genetic changes and often communicate their findings to clinicians or researchers for decision-making in healthcare or research settings.

What is the difference between Ngs Variant Interpretation vs Genetic Counselor?

AspectNgs Variant InterpretationGenetic Counselor
Required CredentialsCertification in genetics or molecular diagnostics, often a laboratory certificationMaster's degree in genetics, counseling, or related field; certification (ABGC, NSGC)
Work EnvironmentLaboratory setting, analyzing genetic data and variantsClinical setting, providing patient counseling and education
Industry UsageUsed primarily in diagnostic labs and research institutionsUsed in hospitals, clinics, and healthcare facilities
Primary FocusInterpreting genetic variants from NGS dataCommunicating genetic information and implications to patients

While Ngs Variant Interpretation specialists focus on analyzing and interpreting genetic data within laboratories, Genetic Counselors work directly with patients to explain genetic information and its health implications. Both roles require a strong understanding of genetics but serve different functions within the healthcare and diagnostics industry.

What are some of the main challenges faced when interpreting NGS variants, and how can professionals address them?

One of the main challenges in NGS variant interpretation is distinguishing between benign and pathogenic variants, especially when dealing with variants of uncertain significance (VUS). Professionals must stay updated with the latest research, utilize comprehensive databases, and collaborate closely with geneticists, clinicians, and bioinformaticians to ensure accurate interpretation. Regular participation in multidisciplinary team meetings and continuous professional development are essential for overcoming these challenges and delivering clinically actionable insights.

What are the key skills and qualifications needed to thrive as an NGS Variant Interpretation Specialist, and why are they important?

To thrive as an NGS Variant Interpretation Specialist, you need a solid background in genetics, molecular biology, and bioinformatics, often supported by an advanced degree in a life science field. Familiarity with next-generation sequencing (NGS) platforms, databases like ClinVar and HGMD, and analysis tools such as GATK and ANNOVAR is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex genomic data and conveying findings to clinicians or researchers. These skills are crucial for ensuring accurate variant classification, supporting clinical decision-making, and advancing personalized medicine.
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Ngs Variant Interpretation jobs near you
Sr Research and Development Scientist, Algorithm Developer

Sr Research and Development Scientist, Algorithm Developer

Baylor Genetics

Remote

Full-time

Posted 15 days ago

Job description

SUMMARY
We are seeking a highly experienced and innovative Senior Scientist in NGS Algorithm Development to lead the design, optimization, and implementation of computational algorithms for next-generation sequencing (NGS) data. This role focuses on detecting and interpreting a wide range of genomic features and chromosomal abnormalities, including trisomy, small variants, copy number variants, short tandem repeats, methylation patterns, and variants in homologous and homopolymer regions.
The Senior Scientist will also lead the design and optimization of targeted NGS panels for existing and new products and drive the development, validation, and integration of NGS algorithms and analysis pipelines. As a technical and project lead, this role ensures analytical accuracy, robustness, and scalability across products, supports technology transfer and pipeline updates, and collaborates cross-functionally with assay development, bioinformatics, and partner teams to provide technical guidance and inform strategic decisions.
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, and have at least 5 years of hands-on experience in algorithm development for NGS applications. Experience in pharmacogenomics (PGx) variant calling, including complex loci such as CYP2D6, is strongly preferred.
Key Responsibilities
  • Lead the design, optimization, and implementation of scalable NGS algorithms and pipelines for detection and interpretation of complex genomic features, including SNVs/Indels, CNVs, STRs, methylation, trisomy, PGx variants, and variants in homologous and homopolymer regions
  • Lead the design and optimization of targeted NGS panels for existing and new products
  • Drive end-to-end development, validation, benchmarking, and integration of NGS algorithms and analysis pipelines using internal and public truth sets
  • Collaborate closely with assay scientists, bioinformatics teams, software engineers, and other partners to translate biological and product requirements into computational solutions
  • Provide technical and project leadership to ensure analytical accuracy, robustness, scalability, and continuous improvement across products
  • Support technology transfer, pipeline updates, and production deployment, and contribute to scientific publications, conference presentations, and intellectual property development.

Required Qualifications
  • Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline
  • Minimum 5 years of experience in NGS algorithm development
  • Proficiency in Python, R, C++, and workflow orchestration tools
  • Deep understanding of:
    • Read alignment and variant calling (e.g., BWA-MEM, minimap2, GATK, DeepVariant) for germline or/and somatic variants
    • CNV modeling, STR detection tools and methylation callers
    • Homologous region analysis and control gene normalization
    • PGx variant interpretation and allele resolution
  • Experience with long-read technologies (ONT, PacBio) and signal-level data
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications
  • Somatic variant calling by short-reads or/and long-reads sequencing
  • Experience with machine learning models for variant classification
  • Knowledge of clinical genomics and regulatory standards
  • Familiarity with pharmacogenomic databases (e.g., PharmGKB, CPIC)

PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit or stand for extended periods.
  • Frequently required to use hand and finger dexterity to operate laboratory equipment.
  • Frequently required to communicate verbally and visually interpret technical data.
  • Occasionally exposed to bloodborne or airborne pathogens or infectious materials.
  • Work is primarily performed in a laboratory and office environment.

EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Note to Recruiters:
We value building direct relationships with our candidates and prefer to manage our hiring process internally. While we occasionally partner with select recruitment agencies for specialized roles, we do not accept unsolicited resumes from recruiters or agencies without a written agreement executed by the authorized signatory for Baylor Genetics ("Agreement"). Any resumes submitted to Baylor Genetics in the absence of an Agreement executed by Baylor Genetics' authorized signatory, will be considered the property of Baylor Genetics, and Baylor Genetics will not be obligated to pay any associated recruitment fees.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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