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Clinical Variant Analyst Jobs (NOW HIRING)

Ambry Genetics

$110K - $114K/yr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in ... analysis Thorough and ongoing knowledge of current theories and principles of human genetics ...

W3Global

Sunquest/Clinical Analyst

Greenville, VA · On-site

Qualifications Creating and configuration of Test, Battery, and Worksheets. Configuration of Billing information. Configuration and maintenance of Instruments. Configuration of different types of ...

New

Washington University of St. Louis

$17.10 - $29.09/hr

Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease ... Work closely with a multidisciplinary team of geneticists, bioinformaticians, and clinicians to ...

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How much do clinical variant analyst jobs pay per hour?

As of Jul 9, 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.
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Clinical Variant Analyst jobs near you
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, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,791 per year, or $39.8 per hour.
Bioinformatics Scientist / Genomic Data Analyst

Bioinformatics Scientist / Genomic Data Analyst

Scisco Genetics

Seattle, WA • On-site

$95K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

We are seeking a highly trained Bioinformatics Scientist with a PhD or equivalent research experience in bioinformatics, computational biology, genetics, genomics, immunology, or a closely related field. The ideal candidate will have strong experience analyzing genomic sequence data and a deep interest in the genetic basis of human immune response.

This role will focus on the analysis and interpretation of genomic, transcriptomic, and/or immune-related sequence datasets to help identify genetic variation, molecular pathways, and biological mechanisms associated with human immune function, immune response, disease susceptibility, vaccine response, inflammation, autoimmunity, infection, or related phenotypes.


Key Responsibilities

The selected candidate will:

  • Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome sequencing, targeted sequencing, and related datasets.
  • Develop, implement, and optimize bioinformatics pipelines for sequence data processing, quality control, variant calling, annotation, and downstream interpretation.
  • Investigate genetic contributors to human immune response, including HLA variation, immune receptor loci, cytokine pathways, host-pathogen response, or other immunogenetic features.
  • Integrate genomic data with clinical, phenotypic, immunological, or functional datasets.
  • Interpret results in a biologically meaningful context and communicate findings to interdisciplinary teams.
  • Prepare reports, figures, manuscripts, grant materials, or presentations summarizing analytical methods and scientific findings.
  • Collaborate with scientists, clinicians, computational biologists, immunologists, and other stakeholders.


Required Qualifications

  • PhD in bioinformatics, computational biology, human genetics, genomics, immunology, biostatistics, or a related discipline.
  • Demonstrated experience analyzing genomic sequence data.
  • Strong understanding of human genetics and genomic variation.
  • Familiarity with immune response genetics, immunogenomics, host-pathogen genetics, vaccine response genetics, autoimmunity, inflammatory disease, or related areas.
  • Proficiency in programming and data analysis using tools such as Python, R, Bash, Nextflow, Snakemake, or similar platforms.
  • Experience working in Linux/Unix computing environments and with high-performance computing or cloud-based analysis systems.
  • Familiarity with standard bioinformatics tools and file formats, such as FASTQ, BAM/CRAM, VCF, GTF/GFF, BED, BCFtools, GATK, PLINK, STAR, HISAT2, Salmon, Seurat, or related tools.
  • Ability to work independently, manage complex datasets, and document analytical workflows clearly.


Preferred Qualifications

  • Experience with HLA typing, immune repertoire sequencing, single-cell immune profiling, GWAS, eQTL analysis, or rare variant analysis.
  • Familiarity with population structure, ancestry inference, polygenic risk scores, or fine-mapping methods.
  • Prior publications or demonstrated research contributions in immunogenetics, infectious disease genetics, autoimmune disease genetics, cancer immunology, vaccine response, or related fields.
  • Experience with reproducible workflow development, containerization, Git-based version control, or cloud platforms such as AWS, Google Cloud, or Azure.


Desired Skills and Attributes

  • Strong analytical and problem-solving skills.
  • Excellent scientific communication skills.
  • Ability to collaborate across computational, biological, and clinical teams.
  • Careful attention to data quality, reproducibility, and documentation.
  • Intellectual curiosity and interest in the genetic determinants of human immune function.



Company Description

Scisco Genetics, a Seattle-based biotechnology company, specializes in next-generation sequencing (NGS) services and products for genotyping complex immune gene systems, including HLA, KIR, MICAB, FCGR, and IGHG. Founded and led by Dr. Daniel Geraghty, whose research at the Fred Hutchinson Cancer Research Center focuses on immune genetics, the company offers tools like the ScisGo product and Version 6 NGS HLA Typing Kit for high-resolution, accurate genotyping, supporting applications such as hematopoietic cell transplants and precision medicine.