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Genomic Variant Scientist Jobs (NOW HIRING)

(Associate) Scientist, Health Data

Seattle, WA · 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 ...

... including genomic variant calling, LLM fine-tuning, and clinical trial matching pipelines ... PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative ...

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... The work supports research efforts in genomics, regulatory biology, and variant interpretation. Key ...

Develop and implement bioinformatics pipelines for variant calling, structural variant detection ... Collaborate with wet-lab scientists to integrate genomic data with experimental results.

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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 Jul 13, 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 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 are the key skills and qualifications needed to thrive as a Genomic Variant Scientist, and why are they important?

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 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 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
What cities are hiring for Genomic Variant Scientist jobs? Cities with the most Genomic Variant Scientist job openings:
What states have the most Genomic Variant Scientist jobs? States with the most job openings for Genomic Variant Scientist jobs include:
Infographic showing various Genomic Variant Scientist job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 84% Full Time, 11% Part Time, 1% Contract, and 2% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $79,408 per year, or $38.2 per hour.
(Associate) Scientist, Health Data

(Associate) Scientist, Health Data

Variant Bio

Seattle, WA • On-site

$67K - $67K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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. 
  • 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.  
  • Catch data issues early and work with the internal team overseeing data collection to resolve them at the source. 
  • Run and adapt the ETL/ELT pipelines that ingest field data with room to own them over time. 
  • Prepare analysis-ready datasets, analyses, and quality assessments that feed downstream target discovery, with clear documentation throughout. 
  • 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. 
  • 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. 
  • 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. 
  • 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. 
  • Clear communication and comfort collaborating across a cross-functional, international team. 
  • Ability to be onsite in the Seattle office a minimum of three days a week. 
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. 
  • 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. 
  • 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. 
  • Prior experience with nucleic acid extraction and QC, qPCR, and/or ELISA assays. 
  • 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. 
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. 

  • 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. 

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. 

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.