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How much do sas statistical programmer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for sas statistical programmer in the United States is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $85.34 per hour, depending on experience, location, and employer.

What types of projects do SAS statistical programmers typically work on, and how do they collaborate with other teams?

Sas Statistical Programmers often work on projects involving the analysis and reporting of clinical trial or observational study data, producing datasets, tables, listings, and figures to support regulatory submissions or scientific publications. They routinely collaborate with biostatisticians, clinical data managers, and project managers to ensure data quality and compliance with industry standards. Daily responsibilities include coding in SAS, validating datasets, troubleshooting data issues, and preparing documentation. Effective communication and teamwork are essential, as the role frequently involves working in multidisciplinary teams to meet project goals and timelines.

What is a SAS statistical programmer?

A SAS Statistical Programmer is a professional who utilizes SAS software to manage, analyze, and report statistical data, primarily in industries like pharmaceuticals, healthcare, and clinical research. They write and validate programs to generate tables, listings, and figures for clinical trials or other data-driven studies. Their role involves ensuring data accuracy, compliance with regulatory guidelines, and collaboration with statisticians and researchers to support decision-making.

What are the key skills and qualifications needed to thrive as a SAS statistical programmer, and why are they important?

To thrive as a Sas Statistical Programmer, you need a strong background in statistics, programming (especially SAS), and data management, usually supported by a degree in statistics, computer science, or a related field. Familiarity with SAS Base, SAS Macro, and clinical data standards like CDISC, as well as relevant industry certifications, are commonly required. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills. These competencies ensure accurate data analysis, clear reporting, and successful collaboration within cross-functional teams in fields like healthcare or pharmaceuticals.

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SAS Statistical Programmer jobs near you
Infographic showing various Sas Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,333 per year, or $57.4 per hour.

Principal Statistical Programmer

Neshent Technologies

Villa Hills, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Principal Statistical Programmer to lead statistical programming activities for clinical development programs. The ideal candidate will have strong expertise in SAS programming, CDISC standards, ADaM datasets, TLF development, regulatory submissions, and clinical trial data analysis. This role will provide technical leadership, mentor statistical programmers, and collaborate with cross-functional clinical teams.

Required Skills & Experience
  • Experience leading a team of statistical programmers supporting clinical development programs.
  • Strong proficiency in SAS programming for developing and validating:
    • ADaM datasets
    • Tables, Listings, and Figures (TLFs)
    • Statistical analyses
  • Good knowledge of R programming and other statistical programming languages preferred.
  • Strong understanding of SAS programming concepts and the clinical study lifecycle.
  • In-depth knowledge of CDISC standards (SDTM/ADaM) and regulatory requirements.
  • Experience supporting regulatory filings and submission documentation.
  • Experience working in therapeutic areas such as Oncology, Immunology, Neuroscience, or similar domains.
  • Strong communication and collaboration skills with cross-functional teams.
  • Ability to estimate project programming efforts and manage competing priorities.
Roles and Responsibilities
  • Lead statistical programming activities for assigned compounds, indications, or therapeutic areas.
  • Manage and mentor statistical programmers, analysts, and senior analysts.
  • Plan resources, track deliverables, and ensure timely completion of programming activities.
  • Develop and oversee SAS programs for ADaM dataset creation following CDISC standards.
  • Develop and review SAS programs for Tables, Listings, and Figures (TLFs).
  • Ensure consistency and quality of ADaM datasets across individual studies and integrated analyses.
  • Support regulatory submissions by preparing documentation such as reviewer guides and data definition documents.
  • Develop standard SAS macros, programming standards, and operating procedures.
  • Ensure compliance with quality processes and clinical programming best practices.
  • Collaborate with Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing, and Clinical Operations teams.
Preferred Qualifications
  • Experience in pharmaceutical, biotechnology, or clinical research environments.
  • Strong knowledge of clinical trial programming and regulatory submission processes.
  • Excellent leadership, problem-solving, and organizational skills.
  • Ability to work effectively in a dynamic, deadline-driven environment.

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