Part Time Genomic 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 part time genomic data analyst jobs pay per year?
As of Sep 1, 2026, the average yearly pay for part time genomic 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 Part Time Genomic Data Analyst is a professional who works with genetic and genomic data on a part-time basis, often supporting research projects or clinical studies. They use bioinformatics tools and statistical methods to analyze DNA, RNA, or protein sequences, interpret genetic variations, and generate reports for scientists or healthcare providers. Their responsibilities may also include data cleaning, quality control, database management, and visualization of genomic data. This role is ideal for individuals with a background in biology, genetics, or computer science who want flexible working hours. Part time positions are common in academic institutions, biotech companies, and healthcare organizations.
As a part-time Genomic Data Analyst, you'll typically be responsible for processing and interpreting large genomic datasets, preparing data visualizations, and supporting research teams with data-driven insights. You may work closely with bioinformaticians, researchers, and laboratory technicians to ensure data quality and to help translate findings into actionable results. Collaboration is often conducted through regular team meetings, shared digital workspaces, and joint review of analytical methods. Due to the part-time nature, clear communication and effective time management are important for meeting project deadlines while coordinating with full-time staff.
A Part Time Genomic Data Analyst typically needs a background in bioinformatics, computational biology, or a related field, with knowledge of genetics and statistics. Familiarity with programming languages like Python or R, experience with genomic databases, and proficiency in data analysis tools such as GATK or Bioconductor are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help interpret complex data and collaborate with research teams. These competencies are crucial for producing accurate analyses that advance genomic research and support data-driven decision-making.
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