Statistician Statistical Programmer information
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$84.5K - $99.5K
3% of jobs
$99.5K - $114.4K
10% of jobs
$124.5K is the 25th percentile. Wages below this are outliers.
$114.4K - $129.4K
18% of jobs
The median wage is $144.3K / yr.
$129.4K - $144.3K
19% of jobs
$157.3K is the 75th percentile. Wages above this are outliers.
$144.3K - $159.3K
29% of jobs
$159.3K - $174.2K
10% of jobs
$174.2K - $189.2K
12% of jobs
$189.2K - $204.1K
0% of jobs
$204.1K - $219.1K
0% of jobs
$219.1K - $234K
0% of jobs
How much do statistician statistical programmer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for statistician statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.
Statistician Statistical Programmers are professionals who use statistical methods and specialized programming skills to analyze data and solve problems in fields such as healthcare, business, government, and research. They design experiments, collect data, and use statistical software (like SAS, R, or Python) to interpret complex datasets and generate meaningful insights. These experts often collaborate with scientists, researchers, and other analysts to ensure data-driven decision-making. Their work is vital in producing accurate reports, building predictive models, and supporting evidence-based strategies.
Statisticians and Statistical Programmers frequently work closely with clinical research teams, data managers, and medical writers to ensure the integrity and accuracy of data analysis. They collaborate to develop statistical analysis plans, perform data cleaning, and generate reports and visualizations that contribute to regulatory submissions or publications. Regular meetings and clear communication are essential, as these roles must interpret complex data requests and translate them into actionable programming tasks. This collaborative structure helps ensure that statistical outputs meet both scientific and regulatory standards.
To thrive as a Statistician Statistical Programmer, you need strong analytical skills, a solid background in statistics or mathematics, and typically a degree in a quantitative field. Proficiency in statistical software such as SAS, R, or Python, as well as experience with data management systems, is commonly required, and certifications in these tools can be advantageous. Attention to detail, problem-solving abilities, and clear communication are key soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are vital to ensure accurate analysis, effective communication of results, and the successful delivery of data-driven insights.
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