Biostatistical 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 biostatistical programmer jobs pay per year?
As of Sep 9, 2026, the average yearly pay for biostatistical 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.
Biostatistical Programmers are professionals who use statistical programming languages, such as SAS, R, or Python, to analyze biological and clinical data. They support clinical trials and public health research by managing datasets, performing statistical analyses, and generating tables, listings, and figures for reports or regulatory submissions. Their work is essential in ensuring data quality and integrity, as well as interpreting results to support scientific conclusions. Biostatistical Programmers often collaborate with statisticians, data managers, and clinical teams in pharmaceutical, biotechnology, or research organizations.
Biostatistical Programmers work closely with clinical researchers, data managers, and statisticians throughout the lifecycle of a clinical study. They are responsible for transforming raw clinical trial data into analyzable datasets, generating tables, listings, and figures, and ensuring data integrity. Collaboration often involves participating in regular team meetings to discuss data requirements, timelines, and any challenges that arise during statistical programming. Effective communication and teamwork are essential, as programmers must often clarify statistical analysis plans and adapt to evolving project needs.
To thrive as a Biostatistical Programmer, you need a solid background in statistics, programming (typically in SAS, R, or Python), and a relevant degree in biostatistics, mathematics, or a related field. Proficiency with clinical trial data management systems, statistical analysis software, and familiarity with regulatory standards such as CDISC are essential. Attention to detail, problem-solving skills, and effective communication help distinguish top performers in this role. These skills ensure accurate data analysis, regulatory compliance, and clear reporting of clinical trial results, which are critical for advancing medical research.
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