Gene Therapy Data Scientist information
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$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 gene therapy data scientist jobs pay per year?
As of Sep 9, 2026, the average yearly pay for gene therapy 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 Gene Therapy Data Scientist is a professional who analyzes and interprets large sets of biological and clinical data related to gene therapy research and development. They use statistical methods, bioinformatics tools, and machine learning to uncover insights from genetic, genomic, and clinical trial data. Their work supports the development of new gene therapies by helping scientists understand how genetic changes affect disease and treatment outcomes. Gene Therapy Data Scientists often collaborate with molecular biologists, clinicians, and regulatory teams to advance safe and effective therapies.
Gene Therapy Data Scientists work closely with laboratory researchers and clinical teams to analyze complex biological datasets, interpret experimental results, and guide data-driven decisions throughout the therapy development process. They often participate in interdisciplinary meetings to ensure that data analysis aligns with scientific objectives and regulatory requirements. Effective communication skills are essential, as they must translate statistical findings into actionable insights for non-technical stakeholders, helping to advance both preclinical and clinical projects.
To thrive as a Gene Therapy Data Scientist, you need a solid background in bioinformatics, statistics, and molecular biology, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with genomic databases, and knowledge of next-generation sequencing (NGS) data analysis tools are typically required. Strong problem-solving, communication, and teamwork skills help you collaborate with cross-functional teams and translate complex data into actionable insights. These abilities are crucial for advancing gene therapy research and ensuring the accuracy and integrity of data-driven decisions in this rapidly evolving field.
What are popular job titles related to Gene Therapy Data Scientist jobs?
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