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Clinical Variant Analyst Jobs (NOW HIRING)

Clinical Genomics Analyst

Chicago, IL · On-site

$80K - $90K/yr

Evaluate variant function, potential clinical impact and genotype-phenotype relationships using ... Perform quality control of variant and clinical analysis, interpretations and completed reports

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Integrate genomic data with clinical, phenotypic, immunological, or functional datasets ... variant analysis. * Familiarity with population structure, ancestry inference, polygenic risk ...

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

Variant Bio is developing life-saving therapies by studying the genes of people with exceptional ... or clinical) and a track record of catching quality issues before they reach an analysis and ...

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Clinical Variant Analyst information

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How much do clinical variant analyst jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for clinical variant analyst in the United States is $39.80, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $45.67 per hour, depending on experience, location, and employer.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, clinical geneticists, and research directors tend to have the highest salaries. Senior positions requiring advanced degrees, certifications, and extensive experience typically offer the highest compensation in the field.

What is a Clinical Variant Analyst?

A Clinical Variant Analyst is a professional who interprets and analyzes genetic variants identified through clinical genetic testing. Their main role is to evaluate DNA sequence changes to determine their significance in relation to health and disease. They collaborate with geneticists, laboratory scientists, and clinicians to classify variants according to established guidelines and help inform patient diagnoses and management. Additionally, Clinical Variant Analysts review scientific literature, use databases, and may contribute to research and quality improvement in genetic testing.

What are some common challenges Clinical Variant Analysts face when interpreting genetic data, and how can they be addressed?

Clinical Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large datasets, and keeping up with rapidly evolving scientific literature. Addressing these challenges requires strong analytical skills, familiarity with bioinformatics tools, and ongoing collaboration with genetic counselors, laboratory directors, and clinicians. Staying current through continuous education and attending case discussions or multidisciplinary meetings also helps analysts provide accurate and clinically relevant interpretations.

What are the key skills and qualifications needed to thrive as a Clinical Variant Analyst, and why are they important?

To thrive as a Clinical Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genetics or molecular biology. Familiarity with next-generation sequencing (NGS) platforms, variant interpretation databases (like ClinVar), and clinical reporting software is commonly required, along with certifications such as ACMG variant interpretation training. Attention to detail, analytical thinking, and effective communication are vital soft skills for accurately interpreting genetic data and collaborating with clinical teams. These skills ensure accurate variant classification and reporting, directly impacting patient diagnosis and care.

What is the highest paying analyst job?

Among analyst roles, senior or specialized positions such as data science managers, financial directors, or clinical research directors tend to have the highest salaries. Clinical Variant Analysts with advanced certifications and experience in genomic data analysis can also command higher compensation, especially in biotech or pharmaceutical industries.

What does a variant analyst do?

A clinical variant analyst examines genetic data to identify and interpret variations in DNA sequences that may be linked to diseases. They analyze sequencing results using bioinformatics tools, review scientific literature, and collaborate with healthcare professionals to determine the clinical significance of genetic variants. This role often requires knowledge of genetics, molecular biology, and proficiency with data analysis software.

What biology jobs pay over $100k?

Clinical Variant Analysts and other specialized genetics professionals can earn over $100,000 annually, especially with advanced degrees, certifications, and experience in genomic analysis, bioinformatics, or laboratory management. High-paying roles often require proficiency with tools like next-generation sequencing and knowledge of genetic databases, typically found in research institutions or biotech companies.
More about Clinical Variant Analyst jobs
What cities are hiring for Clinical Variant Analyst jobs? Cities with the most Clinical Variant Analyst job openings:
What states have the most Clinical Variant Analyst jobs? States with the most job openings for Clinical Variant Analyst jobs include:
Infographic showing various Clinical Variant Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 88% 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 $82,791 per year, or $39.8 per hour.

Full-time

Re-posted 3 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

225th of 612 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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