Freelance Genomics Data Scientist information
See salary details
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
How much do freelance genomics data scientist jobs pay per year?
As of Aug 13, 2026, the average yearly pay for freelance genomics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
A Freelance Genomics Data Scientist is an independent professional who analyzes and interprets large-scale genetic data for clients or organizations on a project basis. They use computational tools and statistical methods to uncover insights from genomics datasets, such as DNA sequences, gene expression profiles, or genetic variants. Their work often involves collaborating with researchers, biotech companies, or healthcare organizations to support research, diagnostics, or personalized medicine. By working freelance, they have the flexibility to take on diverse projects across different sectors.
Freelance Genomics Data Scientists often work closely with multidisciplinary teams, including bioinformaticians, laboratory researchers, and clinical staff. Collaboration is usually managed through regular virtual meetings, shared project management tools, and cloud-based data platforms to ensure seamless communication and data sharing. Freelancers are expected to provide clear updates, interpret complex genomic data, and adapt to the workflows of various clients. Building strong relationships and maintaining transparency are key to success in this remote, project-based environment.
A Freelance Genomics Data Scientist needs a strong background in bioinformatics, statistics, and genomics, often supported by a degree in a related field and experience handling large biological datasets. Proficiency with programming languages like Python or R, familiarity with tools such as Bioconductor, and experience using cloud computing platforms are typically required. Excellent problem-solving abilities, communication skills, and the ability to manage time effectively are vital soft skills for collaborating remotely and delivering results to diverse clients. These competencies ensure accurate data analysis, effective client communication, and the ability to adapt to evolving project requirements in the fast-paced genomics industry.
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