Remote Genome Analyst information
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$52.1K is the 25th percentile. Wages below this are outliers.
$49K - $58K
15% of jobs
The median wage is $67.3K / yr.
$67K - $76K
18% of jobs
$82.5K is the 75th percentile. Wages above this are outliers.
$76K - $85K
11% of jobs
How much do remote genome analyst jobs pay per year?
As of Aug 28, 2026, the average yearly pay for remote genome analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.
A Remote Genome Analyst is a professional who analyzes and interprets genetic data from a remote location, often working for research institutions, healthcare organizations, or biotechnology companies. Their role involves using bioinformatics tools and software to process DNA and RNA sequencing data, identify genetic variants, and contribute to research or clinical projects. By working remotely, they can collaborate with teams and access data securely through digital platforms. This flexible work arrangement allows organizations to access specialized expertise regardless of geographic location.
Remote Genome Analysts typically use a combination of cloud-based platforms, version control systems, and regular virtual meetings to stay connected with research teams. They are responsible for analyzing large genomic datasets, interpreting results, and sharing insights with scientists, bioinformaticians, and clinicians. Clear communication and well-documented workflows are essential to ensure data integrity and project alignment. While working remotely offers flexibility, it also requires proactive engagement to remain updated on evolving project goals and collaborative troubleshooting of complex analyses.
To thrive as a Remote Genome Analyst, you need a strong background in genetics, bioinformatics, and data analysis, typically supported by a degree in genomics, biology, or a related field. Familiarity with bioinformatics tools such as BLAST, Galaxy, and programming languages like Python or R, as well as experience with genomic databases, is essential. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you collaborate with research teams and interpret complex genomic data accurately. These skills enable high-quality genomic analysis, efficient data interpretation, and seamless teamwork in a remote environment.
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