Sas Nonmem information
See salary details
$14.47 - $20.76
0% of jobs
$20.76 - $27.05
2% of jobs
$27.05 - $33.35
0% of jobs
$33.35 - $39.64
6% of jobs
$39.64 - $45.94
2% of jobs
$49.46 is the 25th percentile. Wages below this are outliers.
$45.94 - $52.23
22% of jobs
The median wage is $54.63 / hr.
$52.23 - $58.52
40% of jobs
$58.64 is the 75th percentile. Wages above this are outliers.
$58.52 - $64.82
15% of jobs
$64.82 - $71.11
7% of jobs
$71.11 - $77.40
3% of jobs
How much do sas nonmem jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for sas nonmem in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.
SAS NONMEM programmers are specialized professionals who use the SAS programming language in combination with NONMEM (Nonlinear Mixed Effects Modeling) software to analyze pharmacokinetic and pharmacodynamic data in clinical research. They are responsible for preparing data, running complex models, and interpreting results to support drug development and regulatory submissions. Their work is essential in the pharmaceutical industry, helping to model how drugs behave in different populations and under various dosing scenarios.
Professionals skilled in SAS and NONMEM often work closely with clinical researchers, statisticians, and pharmacometricians to analyze clinical trial data and develop pharmacokinetic/pharmacodynamic models. Collaboration usually involves regular meetings to discuss data quality, model selection, and interpretation of results. Effective communication is key, as findings from NONMEM modeling must be clearly presented to both technical and non-technical stakeholders. These roles also frequently contribute to regulatory submissions, requiring strong teamwork and attention to documentation standards.
To thrive as a SAS NONMEM Analyst, you need strong expertise in statistical programming (especially SAS), pharmacometrics, and a solid foundation in life sciences or pharmacy, often with an advanced degree. Proficiency with NONMEM software, SAS programming, and familiarity with data visualization and analysis tools are essential technical requirements. Excellent problem-solving, attention to detail, and clear communication skills help analysts interpret complex data and collaborate with multidisciplinary teams. These abilities are crucial for ensuring accurate pharmacokinetic/pharmacodynamic analyses that support drug development and regulatory submissions.
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