Remote Biological Data Analyst information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do remote biological data analyst jobs pay per year?
As of Aug 26, 2026, the average yearly pay for remote biological data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
A Remote Biological Data Analyst is a professional who analyzes biological datasets, such as genomics, proteomics, or ecological data, while working from a remote location. They use statistical and computational tools to interpret complex biological information, often collaborating with researchers and scientists virtually. Their work helps advance scientific understanding, inform healthcare decisions, and contribute to research projects in fields like genetics, drug discovery, and environmental science. Remote work allows them to contribute to international teams and organizations without being tied to a physical lab or office.
A Remote Biological Data Analyst should have a strong background in biology, statistics, and data analysis, often supported by a degree in bioinformatics, computational biology, or a related field. Expertise with programming languages such as Python or R, familiarity with bioinformatics tools (like BLAST or Bioconductor), and experience using data visualization platforms are typically required. Attention to detail, strong problem-solving abilities, and clear written communication are crucial soft skills for effectively interpreting and conveying complex biological data. These competencies enable accurate data-driven insights, facilitate remote collaboration, and support impactful biological research outcomes.
One common challenge for remote Biological Data Analysts is effective communication and collaboration with research teams, as projects often require close coordination with biologists, statisticians, and IT professionals. To address this, it's important to proactively schedule regular virtual meetings, use collaborative platforms for data sharing, and maintain clear documentation of analyses. Additionally, managing large datasets remotely can be challenging, so familiarity with cloud-based tools and secure data access protocols is essential. Staying organized and leveraging project management tools can further help ensure smooth workflow and timely delivery of results.
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