Quantitative Research Project Manager information
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$57.5K - $64.9K
9% of jobs
$70.6K is the 25th percentile. Wages below this are outliers.
$64.9K - $72.4K
15% of jobs
$72.4K - $79.8K
15% of jobs
The median wage is $81.7K / yr.
$79.8K - $87.3K
27% of jobs
$90.2K is the 75th percentile. Wages above this are outliers.
$87.3K - $94.7K
12% of jobs
$94.7K - $102.2K
4% of jobs
$102.2K - $109.6K
4% of jobs
$109.6K - $117.1K
2% of jobs
$117.1K - $124.5K
4% of jobs
$124.5K - $132K
3% of jobs
How much do quantitative research project manager jobs pay per year?
As of Sep 11, 2026, the average yearly pay for quantitative research project manager in the United States is $86,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $91,500.00 per year, depending on experience, location, and employer.
A Quantitative Research Project Manager oversees the planning, execution, and completion of research projects that rely on numerical data and statistical analysis. They coordinate with researchers, data analysts, and stakeholders to ensure that research objectives are met within set timelines and budgets. Their responsibilities include designing research methodologies, managing data collection processes, ensuring data quality, and reporting findings. They also manage project risks and resources, and often communicate results to both technical and non-technical audiences.
To thrive as a Quantitative Research Project Manager, you need strong analytical abilities, project management experience, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with statistical analysis software (such as SPSS, R, or SAS), survey platforms, and project management tools like Asana or Trello is typically required, along with knowledge of research methodologies. Exceptional organizational skills, attention to detail, and effective communication are crucial soft skills for leading teams and coordinating complex studies. These competencies ensure rigorous research outcomes, timely project delivery, and successful collaboration with stakeholders.
A Quantitative Research Project Manager plays a central role in bridging the gap between data analysts and stakeholders. They coordinate project timelines, clarify research objectives, and ensure that data analysts have a clear understanding of the analyses required. Throughout the project, they facilitate regular check-ins, translate technical findings for non-technical stakeholders, and adjust plans based on feedback or evolving needs. This collaborative approach helps ensure that the research delivers actionable insights that align with business goals.
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