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Genomic Variant Scientist Jobs (NOW HIRING)

Tempus

$110K - $114K/yr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in following report generation protocols to meet requirements for quality and turnaround time. The ...

Ambry Genetics

$110K - $114K/yr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in following report generation protocols to meet requirements for quality and turnaround time. The ...

Tempus

$100 - $125/hr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in following report generation protocols to meet requirements for quality and turnaround time. The ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

About the Role You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning ... scientists working with human genetics data. You'll own the full evaluation pipeline: choosing ...

Tempus

Staff, Software Engineer

$164K - $246K/yr

Design and own data models, APIs, and search/query strategies that make large-scale genomic variant data fast and precise to filter, faceted, and retrieve at scale. * Partner directly with scientific ...

Ambry Genetics

Staff, Software Engineer

$164K - $246K/yr

Design and own data models, APIs, and search/query strategies that make large-scale genomic variant data fast and precise to filter, faceted, and retrieve at scale. * Partner directly with scientific ...

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Genomic Variant Scientist information

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$36.5K

$79.4K

$137.5K

How much do genomic variant scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for genomic variant scientist in the United States is $79,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $93,000.00 per year, depending on experience, location, and employer.

What does a genomic variant scientist do?

A Genomic Variant Scientist specializes in identifying, analyzing, and interpreting genetic variations within DNA sequences. They use advanced bioinformatics tools and laboratory techniques to detect changes in genes that may be linked to diseases, traits, or drug responses. Their work is crucial in fields like personalized medicine, genetic research, and clinical diagnostics, helping to translate genomic data into actionable insights for patient care or scientific discovery.

What are the key skills and qualifications needed to thrive as a genomic variant scientist?

To thrive as a Genomic Variant Scientist, a deep understanding of genetics, genomics, and molecular biology is essential, usually supported by an advanced degree in a life science field. Familiarity with next-generation sequencing (NGS) technologies, variant annotation tools, and bioinformatics software such as GATK and VEP is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate variant interpretation, enabling meaningful clinical or research insights that drive advances in precision medicine.

What are the common challenges faced by genomic variant scientists when interpreting complex genetic data, and how are these addressed in a typical work environment?

Genomic Variant Scientists often encounter challenges such as distinguishing pathogenic variants from benign ones, managing large datasets, and keeping up with the rapidly evolving scientific literature. In most work environments, these challenges are addressed through collaborative teamwork with bioinformaticians, clinical geneticists, and laboratory technicians. Access to advanced computational tools, regular case discussions, and ongoing professional development opportunities help scientists stay updated and improve the accuracy of variant interpretation. This collaborative and resource-rich environment enables Genomic Variant Scientists to tackle complex cases and contribute effectively to patient care or research outcomes.

What is the difference between Genomic Variant Scientist vs Genetic Data Analyst?

AspectGenomic Variant ScientistGenetic Data Analyst
Required CredentialsBachelor's or Master's in Genetics, Genomics, or related field; experience with genomic dataBachelor's or Master's in Genetics, Bioinformatics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, academic institutionsHealthcare settings, research institutions, biotech firms
Industry UsageGenomics research, variant interpretation, experimental analysisData interpretation, report generation, clinical data analysis

While both roles involve working with genetic data, Genomic Variant Scientists focus on identifying and interpreting genetic variants through laboratory and computational methods. Genetic Data Analysts primarily analyze and interpret genetic data sets to support research or clinical decisions. The roles often overlap in skills and environment but differ in their core responsibilities and focus areas.

More about Genomic Variant Scientist jobs

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Cities with the most Genomic Variant Scientist job openings:

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Genomic Variant Scientist jobs near you
Infographic showing various Genomic Variant Scientist job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $79,408 per year, or $38.2 per hour.

Molecular Genetics Analysis Assistant

Remote

Baylor Genetics
Biotechnology Research and Development • 51 - 200 employees
Learn more about Baylor Geneticsexternal

Full-time

Posted 20 days ago

Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 121 rated laboratories

Job description

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.
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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