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Genomic Variant Analyst Jobs (NOW HIRING)

Purpose Under general supervision, the Clinical Genomic Analyst will support clinical testing by performing essential data analysis, variant interpretation and reporting functions. Assists with the ...

Clinical Genomics Analyst

Chicago, IL · On-site

$80K - $90K/yr

Purpose Under general supervision, the Clinical Genomic Analyst will support clinical testing by performing essential data analysis, variant interpretation and reporting functions. Assists with the ...

Clinical Genomics Analyst

Chicago, IL · On-site

$80K - $90K/yr

Purpose Under general supervision, the Clinical Genomic Analyst will support clinical testing by performing essential data analysis, variant interpretation and reporting functions. Assists with the ...

Salary: $80k - $90k annually Purpose Under general supervision, the Clinical Genomic Analyst will support clinical testing by performing essential data analysis, variant interpretation and reporting ...

Scientific Sales, Oncology

San Diego, CA · On-site

$80K - $120K/yr

... analysis, small and large structural variant detection, de novo chromosome assembly, haplotype ... This role will support our genomic variant products and services business unit-directly targeting ...

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Genomic Variant Analyst information

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$38K

$73.5K

$117.5K

How much do genomic variant analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for genomic variant analyst in the United States is $73,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What does a genomic variant analyst do?

A Genomic Variant Analyst is a specialist who examines genetic data to identify and interpret variations within genomes, such as mutations or structural changes in DNA. Their work is crucial for understanding genetic contributions to diseases, guiding clinical decision-making, and advancing personalized medicine. They use bioinformatics tools and databases to analyze sequencing data, annotate variants, and assess their significance. Genomic Variant Analysts often collaborate with clinicians, researchers, and laboratory staff to ensure accurate and meaningful interpretation of genomic information.

What are the key skills and qualifications needed to thrive as a genomic variant analyst, and why are they important?

To thrive as a Genomic Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genomics or computational biology. Experience with genomic data analysis tools (like GATK, VEP, or IGV), next-generation sequencing (NGS) platforms, and familiarity with databases such as ClinVar are essential. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities ensure accurate variant identification, meaningful clinical interpretations, and successful integration of genomic data into research or healthcare.

What are some common challenges faced by genomic variant analysts when interpreting complex genetic data, and how are they addressed?

Genomic Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large volumes of sequencing data, and staying updated with rapidly evolving databases and guidelines. To address these, analysts rely on established variant classification frameworks, utilize collaborative review with clinical teams, and leverage specialized bioinformatics tools. Continuous professional development and participation in case discussions help ensure accurate interpretations and effective collaboration with genetic counselors and physicians.

What is the difference between Genomic Variant Analyst vs Bioinformatics Technician?

AspectGenomic Variant AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Bioinformatics, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic scripting skills
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, hospitals, biotech firms, computational environments
Employer & Industry UsageGenomics research, clinical labs, pharmaceutical companiesData processing, supporting genomic research, data management

The Genomic Variant Analyst focuses on interpreting genetic variations and analyzing sequencing data, often requiring advanced bioinformatics skills. In contrast, the Bioinformatics Technician typically handles data management, basic analysis, and supporting research activities. While both roles work within genomics and bioinformatics, the analyst role involves more complex data interpretation and analysis, whereas the technician provides essential support functions.

More about Genomic Variant Analyst jobs
What cities are hiring for Genomic Variant Analyst jobs? Cities with the most Genomic Variant Analyst job openings:
What states have the most Genomic Variant Analyst jobs? States with the most job openings for Genomic Variant Analyst jobs include:
What job categories do people searching Genomic Variant Analyst jobs look for? The top searched job categories for Genomic Variant Analyst jobs are:
Infographic showing various Genomic Variant Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $73,532 per year, or $35.4 per hour.

Full-time

Re-posted 10 days ago


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

226th of 615 rated colleges and universities


Job description


The Clinical Informatics Programmer Specialist 4 applies advanced professional clinical informatics concepts and extensive knowledge of industry practices to projects of all levels of scope and complexity.
Involves the development and implementation of the organization's information systems and tools that are applied to clinical information. Works closely with clinicians across all hospital / healthcare departments to optimize effective use of systems. Coordinates analytical support for health management, including profiling, health economics, and business analytics / performance metrics. Defines systems and applications to support various functions. May provide customer service, troubleshooting and maintenance.
UCSF Health's Genetics and Genomics Services, Clinical Cancer Genomics Lab (CCGL) and Genomics Medicine Lab (GML) aim to achieve the highest standards in patient care. The labs provides clinical genomics testing services in a wide variety of clinical areas with highly trained subspecialists who are recognized nationally and internationally for their expertise.
Responsibilities
of time
Essential Function (Yes/No) Key Responsibilities50%Yes
Support clinical operations of genetic testing laboratory throughgene curation, assessment of gene-disease correlation, and variant curation across the various genetic tests offered by the laboratory (e.g. hereditary cancer panel, exome, genome, and cancer gene panels).
Analyze clinical data selecting variants for curation/confirmation, variant nomenclature following HGVS guidelines.
Draft provisional medical reports for laboratory director review and sign out.
30%Yes
Routine assessment of quality control metrics and , assisting with troubleshooting in collaboration with lab technicians and bioinformaticians as needed.
Track and manage the flow and analysis of patient data.
Develop and maintain databases of patient case status, human phenotype ontologies, and associated genetic analysis pipelines.
Ensure the handling of patient data is HIPAA and CLIA compliant.
Develop, maintain, and update local databases of clinical variant annotations relevant to human disease.
10%Yes
Aid the laboratory directors and staff during the test development and validation of clinical testing pipelines.
Assist in the development of procedures and rules for classifying genetic variation according to ACMG/AMP guidelines, curation in internal databases, submission to ClinVar, and for publication.
Contributes to facilitating and promoting internal and external genomic projects by providing scientific or intellectual information.
5%
Yes
Participate as a productive member of the work team and prepare cases for weekly team meetings.
Work with cross-functional teams, department, and providers on developing new tests, strategies to improve efficiency and accuracy for the GML/CCGL.
5%
Yes
Assist in the instruction of trainees and training of new laboratory personnel.
Perform other related work as needed.
100%
Qualifications
Required Qualifications:
  • Broadly encompassing or highly in-depth knowledge of 1-2 areas of focus in clinical informatics specialty areas. Knowledge of controlled terminology, clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology.
  • In-depth knowledge of all relevant clinical informatics software and systems, and of the highly-complex concepts, principles, policies, methodologies, techniques, best practices, regulations, and standards practices involved with patient care and electronic medical data management in the UC health care system.
  • Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of clinical users in a clear and concise manner, to provide technical support, and to develop and deliver training materials as needed.
  • Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
  • Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.

Preferred Qualifications:
  • Advanced organizational and project management skills, with the ability to lead a team, prioritize tasks, and see projects through from inception to completion on schedule.
  • Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.

Education, Licenses/Certifications:
  • Bachelor's degree in health care information technology, computer science, or related area, and / or equivalent combination of experience / training - Required
  • M.S.-Level Scientist in Medical Genetics or Genomics - Preferred

About Us
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

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