Research Informatics Analyst information
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$67.6K is the 25th percentile. Wages below this are outliers.
$65K - $72.5K
20% of jobs
The median wage is $81.2K / yr.
$80K - $87.5K
14% of jobs
$97.3K is the 75th percentile. Wages above this are outliers.
$95K - $102.5K
19% of jobs
$102.5K - $110K
5% of jobs
$110K - $117.5K
3% of jobs
$117.5K - $125K
3% of jobs
How much do research informatics analyst jobs pay per year?
As of Sep 11, 2026, the average yearly pay for research informatics analyst in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.
A Research Informatics Analyst is a professional who supports research teams by managing, analyzing, and interpreting complex data sets, often in scientific, clinical, or academic environments. They develop and maintain databases, create data visualizations, and ensure data quality and integrity. Their work enables researchers to make data-driven decisions and helps optimize research workflows. Research Informatics Analysts often collaborate with scientists, IT staff, and other analysts to solve data-related challenges and support ongoing research projects.
Research Informatics Analysts play a crucial liaison role between scientific researchers and IT professionals. They work closely with researchers to understand project requirements, ensuring that data management solutions align with scientific goals. At the same time, they coordinate with IT teams to implement and maintain databases, software, and analytical tools. This collaborative environment requires strong communication skills and adaptability, as analysts often translate technical needs across disciplines and troubleshoot data-related challenges together.
To thrive as a Research Informatics Analyst, you need strong data analysis skills, a background in life sciences or informatics, and a relevant degree such as in bioinformatics, computer science, or a related field. Familiarity with databases, scripting languages (like Python or R), and electronic data capture systems is typically required, and certifications in data management or clinical informatics are advantageous. Excellent problem-solving, attention to detail, and effective communication skills are essential to translate complex data into actionable research insights. These competencies ensure accurate data management, facilitate effective collaboration with research teams, and support the integrity and impact of scientific studies.
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