Bioinformatic Analyst information
See Raleigh, NC salary details
$30.1K - $38.9K
11% of jobs
$38.9K - $47.6K
9% of jobs
$50.6K is the 25th percentile. Wages below this are outliers.
$47.6K - $56.4K
15% of jobs
$56.4K - $65.1K
15% of jobs
The median wage is $65.4K / yr.
$65.1K - $73.9K
18% of jobs
$80.2K is the 75th percentile. Wages above this are outliers.
$73.9K - $82.6K
11% of jobs
$82.6K - $91.4K
7% of jobs
$91.4K - $100.1K
5% of jobs
$100.1K - $108.9K
4% of jobs
$108.9K - $117.6K
2% of jobs
$117.6K - $126.4K
3% of jobs
How much do bioinformatic analyst jobs pay per year?
As of Aug 18, 2026, the average yearly pay for bioinformatic analyst in Raleigh, NC is $71,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,600.00 per year, depending on experience, location, and employer.
A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.
To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.
One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.
Bioinformatic analysts often work in research or healthcare settings, analyzing large datasets and developing computational tools, which can involve tight deadlines and complex problem-solving. The level of stress varies depending on workload, project deadlines, and workplace environment, but the role generally requires strong attention to detail and technical skills. Managing workload and staying organized can help reduce stress in this position.
Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. In general, the field offers above-average pay compared to many other entry-level science roles, especially for those with advanced skills in programming, data analysis, and familiarity with tools like R or Python.
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