Genetics Software Engineer information
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$63.5K - $76.4K
2% of jobs
$76.4K - $89.3K
4% of jobs
$89.3K - $102.2K
6% of jobs
$102.2K - $115.1K
8% of jobs
$122.1K is the 25th percentile. Wages below this are outliers.
$115.1K - $128K
7% of jobs
The median wage is $144K / yr.
$141K - $153.9K
16% of jobs
$153.9K - $166.8K
2% of jobs
$172.1K is the 75th percentile. Wages above this are outliers.
$166.8K - $179.7K
26% of jobs
$179.7K - $192.6K
1% of jobs
$192.6K - $205.5K
8% of jobs
How much do genetics software engineer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for genetics software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.
A Genetics Software Engineer designs, develops, and maintains software tools and systems that support genetic research and analysis. They collaborate with geneticists and bioinformaticians to create programs that process, visualize, and interpret large-scale genetic data. Their work enables faster and more accurate discoveries in genomics, personalized medicine, and genetic testing by automating workflows and ensuring data integrity. In addition to coding, they may also optimize algorithms for handling complex biological datasets and ensure their tools are user-friendly for scientists.
Genetics Software Engineers often face challenges related to handling and processing large-scale genomic datasets, which require efficient algorithms and robust data management solutions. Ensuring data accuracy and reproducibility can be complex, especially when integrating data from multiple sources or dealing with rapidly evolving scientific methods. Additionally, close collaboration with geneticists and researchers is essential to understand user needs and to translate scientific requirements into effective and user-friendly software solutions.
To thrive as a Genetics Software Engineer, you need strong programming skills (such as Python, R, or C++), a solid understanding of genetics or bioinformatics, and typically a degree in computer science, bioinformatics, or a related field. Experience with genomic data analysis tools, databases (like SQL or NoSQL), and platforms such as GATK or Bioconductor is highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with researchers and interpreting complex biological data. These skills and qualities are crucial to developing reliable software solutions that advance genetic research and support scientific discoveries.
What are popular job titles related to Genetics Software Engineer jobs?
For Genetics Software Engineer jobs, the most frequently searched job titles are:
