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Sas Statistical Programmer Jobs in Michigan (NOW HIRING)

A2 Ai

Statistical Programmer

Ann Arbor, MI · On-site

$75 - $110/hr

Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical ... Bachelor's degree in quantitative sciences, biostatistics, statistics, engineering, data science ...

MMS

Senior Statistical Programmer - Remote

Canton, MI · On-site

Advanced user in SAS programming, SAS Base, and SAS Macros. * Advanced knowledge of E-Submission ... Masters required for all Statistics roles. * Minimum of 5 years' experience in Statistical ...

OptechUs

SAS Administrator

Auburn Hills, MI · On-site

... Information Technology, Engineering and Healthcare talent and services to Fortune 500 and ... that perform quantitative / statistical functions 3 years project management / coordinator ...

Ra

Marketing Analytics Manager

Detroit, MI · On-site

... SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics, Statistical Programming ...

MMS

Study Design Statistician (Remote)

Canton, MI · On-site

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

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How much do sas statistical programmer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for sas statistical programmer in Michigan is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $74.38 per hour, depending on experience, location, and employer.

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 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 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 Michigan as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $104,010 per year, or $50 per hour.

Statistical Programmer

Ann Arbor, MI • On-site

A2 Ai
See more jobs at A2 Aiexternal

$75 - $110/hr

Other

Posted 8 days ago

Job description

  • Generate and validate CDISC SDTM and ADaM datasets related to noncompartmental analysis (NCA), including PC/PP, ADPC, ADPP, and other relevant domains.
  • Develop submission-ready datasets that comply with CDISC standards, implementation guides, and controlled terminology.
  • Perform dataset validation using Pinnacle 21 (Community and/or Enterprise) and resolve validation findings to ensure regulatory compliance.
  • Prepare and maintain Define-XML packages and supporting metadata for regulatory submissions.
  • Develop and maintain programming code using R and/or SAS to create, validate, and QC clinical datasets.
  • Perform quality control (QC) of datasets, programming outputs, and submission documentation to ensure accuracy, completeness, and consistency with source data.
  • Support regulatory submissions to agencies such as the FDA, PMDA, and EMA by producing high-quality, submission-ready datasets and documentation.
Requirements
  • Bachelor’s degree in quantitative sciences, biostatistics, statistics, engineering, data science, or similar field. Master’s degree preferred.
  • Experience generating and validating CDISC SDTM and ADaM NCA domains (e.g., PC/PP, ADPC, ADPP, and related datasets).
  • Proficiency with Pinnacle 21 (Community and/or Enterprise) for validation.
  • Proficiency with R or SAS.
  • Experience preparing or reviewing Define-XML (define packages) for regulatory submissions.
  • Strong understanding of CDISC standards, controlled terminology, and implementation guides.
  • Experience supporting regulatory submissions (FDA, PMDA, or EMA) is preferred.
  • Strong attention to detail and ability to work independently in a collaborative environment.
  • This position is ideal for someone with hands-on experience in clinical data standards who can efficiently produce submission-ready datasets and associated documentation for NCA analyses.
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