Genomic Data Scientist information
See Raleigh, NC salary details
$36.5K - $50.5K
2% of jobs
$50.5K - $64.6K
3% of jobs
$64.6K - $78.6K
6% of jobs
$78.6K - $92.7K
9% of jobs
$97.2K is the 25th percentile. Wages below this are outliers.
$92.7K - $106.7K
15% of jobs
The median wage is $116.1K / yr.
$106.7K - $120.8K
22% of jobs
$128.5K is the 75th percentile. Wages above this are outliers.
$120.8K - $134.8K
32% of jobs
$134.8K - $148.9K
3% of jobs
$148.9K - $162.9K
4% of jobs
$162.9K - $177K
1% of jobs
How much do genomic data scientist jobs pay per year?
As of Aug 22, 2026, the average yearly pay for genomic data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.
Genomic Data Scientists are professionals who analyze and interpret large-scale genomic data using computational, statistical, and bioinformatics techniques. They work at the intersection of biology, computer science, and statistics to extract meaningful insights from genetic information. Their work supports research in areas such as personalized medicine, disease gene discovery, and evolutionary biology. Genomic Data Scientists often collaborate with researchers, clinicians, and other scientists to solve complex biological problems and advance scientific understanding.
To thrive as a Genomic Data Scientist, you need expertise in bioinformatics, statistics, and genomics, typically supported by a degree in computational biology, bioinformatics, or a related field. Familiarity with programming languages like Python or R, experience with high-throughput sequencing data analysis tools, and knowledge of genomic databases are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate across disciplines. These skills are crucial for deriving actionable insights from large-scale genomic data and advancing research or clinical applications.
Genomic Data Scientists often encounter challenges related to managing and processing massive datasets, which require robust computational resources and efficient data storage solutions. Data integration from different sources and formats can also be complex, necessitating careful quality control and normalization. Additionally, ensuring reproducibility of analyses and translating raw data into actionable biological insights require strong collaboration with biologists, clinicians, and other data scientists. Staying updated with evolving tools, algorithms, and best practices is also essential for success in this rapidly changing field.
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What cities near Raleigh, NC are hiring for Genomic Data Scientist jobs?
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