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Statistical Programmer Jobs in Arkansas (NOW HIRING)

Sanhua

Quality Engineer

Springdale, AR · On-site

$63K - $82K/yr

Lead the implementation and analysis of Statistical Process Control (SPC) to monitor process ... Qualifications BS in Mechanical Engineering, Industrial Engineering or a related field Minimum of 3 ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Arkansas

Statistical Programmer information

See Arkansas salary details

$69.9K

$121.8K

$205.9K

How much do statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for statistical programmer in Arkansas is $121,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $132,300.00 per year, depending on experience, location, and employer.

What are statistical programmers?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

What Does a Statistical Programmer Do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by Statistical Programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

What are the key skills and qualifications needed to thrive as a Statistical Programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs
What are the most commonly searched types of Statistical Programmer jobs in Arkansas? The most popular types of Statistical Programmer jobs in Arkansas are:
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What job categories do people searching Statistical Programmer jobs in Arkansas look for? The top searched job categories for Statistical Programmer jobs in Arkansas are:
What cities in Arkansas are hiring for Statistical Programmer jobs? Cities in Arkansas with the most Statistical Programmer job openings:
What are popular job titles related to Statistical Programmer jobs in AR? For Statistical Programmer jobs in AR, the most frequently searched job titles are:
Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Arkansas as of July 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $121,796 per year, or $58.6 per hour.

Statistician

SD Department of Veterans Affairs

North Little Rock, AR • On-site

$89K/yr

Other

Posted 16 days ago

Job description

The Statistician will assist Geriatric Research, Education and Clinical Center (GRECC) Core and affiliate investigators with statistical design and sample sizes for projects/ studies; advise regarding appropriate data management techniques for existing and new data; and conducting all needed statistical analyses using appropriate software. Written and oral reports will be provided by the Statistician describing statistical findings.Qualifications:Applicants pending the completion of educational or certification/licensure requirements may be referred and tentatively selected but may not be hired until all requirements are met.
Basic Requirements:
  • United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
  • Education- Degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. OR
  • Combination of education and experience -- courses as shown above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as:
    • (a) sampling,
    • (b) collecting, computing, and analyzing statistical data, and
    • (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
Grade Determinations:
Statistician (Health)- GS-12
Specialized Experience: Equivalent to the GS-11 level in the Federal service, that equipped you with the particular knowledge, skills, and abilities (KSA's) needed to successfully perform the duties of the position and that is typically in/or related to this Statistician Health GS-1530-12 position to be filled. This experience must be supported by your resume to be creditable. Specialized experience includes:
  • Knowledge of research policies & procedures and of the research protocol approval process.
  • Expertise in conducting geriatric human subject research; creativity, flexibility and adaptability to independently conduct the work required of each complex project.
Education Substitution: Must possess an Ph. D. or equivalent doctoral degree
Preferred Experience:
  • Has greater than one (1) year exp. as Research Health Science Specialist or Research Assistant/Associate coordinating & managing a single- or multi-site human subject research and clinical quality improvement (QI) studies.
  • Experience using technical writing styles and proper English grammar; ability to edit professional, technical manuscripts.
  • Experience in project coordination, recruitment of subjects, subject interviewing, data collection, basic data analysis and report writing (for project management purposes), creation and maintenance of the research protocol's standard operating procedures (SOP) manual, and training other staff.
  • Experience using SAS, R, or other compatible data analysis software.
Reference: For more information on this qualification standard, please visit https://www.va.gov/ohrm/QualificationStandards/.
The full performance level of this vacancy is 12.
Physical Requirements: Physical aspects associated with work required of this assignment are typical for the occupation, see Duties section for essential job duties of the position. May require standing, lifting, carrying, sitting, stooping, bending, puling, and pushing. May be required to wear personal protective equipment and undergo annual TB screening or testing as conditions of employment.
Work Environment: Work is performed in an office/clinic setting with minimal risks that requires normal safety precautions; the area is adequately lighted, heated, and ventilated. However, the work environment requires someone with the ability to handle several tasks at once in sometimes stressful situations.Education:Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER

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