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Genomic Variant Analyst Jobs (NOW HIRING)

(Associate) Scientist, Health Data

Seattle, WA ยท On-site

$67K - $67K/yr

ABOUT THE ROLE The Health Data team at Variant Bio turns data generated in the field, across our ... Genomic study-design literacy: Able to recognize when recruitment, sampling, batching, or ...

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

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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.

(Associate) Scientist, Health Data

Variant Bio

Seattle, WA โ€ข On-site

$67K - $67K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

ABOUT THE ROLE

The Health Data team at Variant Bio turns data generated in the field, across our international partner cohorts, into harmonized, analysis-ready resources that power genetic target discovery. We are looking for someone who enjoys the challenge of complex, real-world data and is motivated to build robust, reproducible solutions for maximizing its quality and comparability across studies, modalities, collaborators, and collection sites. In this role you will own the curation, quality control, and harmonization of multi-omic, survey, biochemistry, and clinical data as it arrives from field sites around the world. You will help develop the standards and pipelines that keep that data trustworthy at scale, spanning the full path from bench work to downstream analysis. Success in this role depends on good scientific judgment about how data is produced: an instinct for where recruitment, sampling, batching, or measurement can introduce bias in genomic studies. We value curiosity and resourcefulness alongside technical skill. There is room to grow from running and adapting existing processes toward owning pipelines and contributing to downstream analyses.

KEY RESPONSIBILITIES
  • Curate, clean, and harmonize multi-omic, survey, biochemistry, and clinical data from international field sites and partner cohorts, reconciling differences across studies, platforms, and sites.ย 
  • Build reproducible QC (validation checks and anomaly detection) that flags problematic data; drive solutions to trace root causes and suggests long term solutions.
  • Contribute to study design, sample selection, and randomization schemes for multi-omic data generation. ย 
  • Catch data issues early and work with the internal team overseeing data collection to resolve them at the source.ย 
  • Run and adapt the ETL/ELT pipelines that ingest field data with room to own them over time.ย 
  • Prepare analysis-ready datasets, analyses, and quality assessments that feed downstream target discovery, with clear documentation throughout.ย 
  • Support quality data generation through occasional wet lab work including aliquoting, protocol testing, and sample QC.
QUALIFICATIONSMust Have...
  • MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health, computational biology, or a related field - or bachelors with a minimum of 2 years relevant professional experience.ย 
  • Demonstrated experience with large, imperfect real-world datasets (multi-omic, survey, biochemistry, and/or clinical) and a track record of catching quality issues before they reach an analysis and tracing them back to their cause.
  • Basic proficiency in R, Python, or a similar programming/scripting language.ย 
  • Genomic study-design literacy: Able to recognize when recruitment, sampling, batching, or measurement decisions could introduce bias or confounding, and what the resulting data can and cannot support.
  • Prior wet lab experience in molecular biology or related context.ย 
  • A learning mindset and creative problem-solving; comfortable working at the edge of your expertise and drawing on a cross-functional team to solve unfamiliar problems.
  • Strong attention to detail and record-keeping, and the ability to manage parallel workflows across multiple studies.ย 
  • Clear communication and comfort collaborating across a cross-functional, international team.ย 
  • Ability to be onsite in the Seattle office a minimum of three days a week.ย 
Nice to Have...
  • Experience developing and owning data pipelines; familiarity with workflow managers (e.g., Nextflow), databases (e.g. SQL), version control (Git), and HPC/cloud environments (e.g., AWS, Slurm).
  • Experience with REDCap or similar electronic data capture (EDC) platforms.ย 
  • Familiarity with data harmonization frameworks - common data elements, common data models, or FAIR principles, including metadata schemas and data dictionaries.
  • Familiarity with clinical data including biochemistry, anthropometrics, and health history.ย 
  • Experience with multi-omic data (proteomic, transcriptomic, metabolomic) generation, and an understanding of how multi-omic and phenotypic evidence is used to identify and prioritize therapeutic targets.ย 
  • Prior experience with nucleic acid extraction and QC, qPCR, and/or ELISA assays.ย 
  • Experience with human subjects research, IRB/ethics workflows, or international multi-site collaborations.
  • Familiarity with biomedical coding systems and ontologies (ICD-9/10, Phecodes, HPO, etc.) for defining and harmonizing phenotypes across cohorts.ย 
COMPENSATION & PERKS

At Variant Bio, we're building something meaningful and we believe supporting our people is essential to that mission. We offer a thoughtful and competitive set of benefits designed to support your health, growth, and life outside of work.ย 

  • Competitive Compensation & Equity- Market-competitive salary with the opportunity to participate in company equity and share in our long-term success.
  • Comprehensive Health Benefits- Variant Bio covers 100% of employee premiums for medical, dental, and vision insurance. Dependents may be added to the plan at an incremental cost.
  • Flexible Time Off- Flexible paid time off and company holidays, with an emphasis on trust and personal responsibility.
  • 401(k) Plan- Employer-sponsored retirement plan with company match.
  • Professional Growth- Support for learning and development.
  • Collaborative, Mission-Driven Culture- Work alongside a highly engaged, interdisciplinary team passionate about transforming human health through genetics.
  • Early-Stage Impact- A chance to make a meaningful contribution at a growing biotech where your work has visible impact.

Anticipated annual base salary for this position is $100,000 - $150,000 plus up to 10% bonus and an options package, for total compensation of up $110,000 - $165,000, plus equity options. The annual salary range above is based on the responsibilities and qualifications listed above. Individual salary will depend on job-related knowledge, skills, and experience.ย 

Don't meet every single requirement but are excited to join the Variant Bio team? If your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may still be the right candidate for this or other roles.ย 

Variant Bio is an equal opportunity employer that guarantees a work environment that respects and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.ย