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Statistical Programmer Jobs in Draper, UT (NOW HIRING)

Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics * You are committed to honesty and a diverse and ...

The Senior Manufacturing Engineer will be responsible for implementing statistical process control (SPC), statistical analysis, Lean Six Sigma principles, and process optimization to increase product ...

The Senior Manufacturing Engineer will be responsible for implementing statistical process control (SPC), statistical analysis, Lean Six Sigma principles, and process optimization to increase product ...

The Senior Manufacturing Engineer will be responsible for implementing statistical process control (SPC), statistical analysis, Lean Six Sigma principles, and process optimization to increase product ...

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Statistical Programmer information

See Draper, UT salary details

$79K

$137.7K

$232.8K

How much do statistical programmer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistical programmer in Draper, UT is $137,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $149,600.00 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.

What are popular job titles related to Statistical Programmer jobs in Draper, UT? For Statistical Programmer jobs in Draper, UT, the most frequently searched job titles are:
Infographic showing various Statistical Programmer job openings in Draper, UT as of July 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $137,695 per year, or $66.2 per hour.

Other

Posted 15 days ago


Job description

Please note, there is no pay associated with this position.
This position serves as a Without Compensation Research Statistician within the Office of Research and Development (ORD). The VA Research Program strives to promote Veteran-centered care to improve patient experiences and outcomes across VA healthcare and community settings, and to advance value-driven care by providing Veterans the highest quality care at the lowest financial burden.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.
You may qualify based on your experience and/or education as described below:
Individual Occupational Requirement:
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. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

OR

Combination of education and experience -- courses as shown in A 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.
AND
Basic Qualifications: This Without Compensation position is equivalent to the GS-11.
Specialized Experience: You must have one year of specialized experience equivalent to at least the next lower grade GS-9 in the normal line of progression for the occupation in the organization. Examples of specialized experience would typically include, but are not limited to: developing advanced statistical methods to support research projects; performing causal mediation analysis to assess indirect effects; conducting microbiome data analysis from preprocessing to interpretation; integrating Multi-Omics datasets for comprehensive biological insights, performing survival analysis for time-to-event outcomes; assisting with preparing and supporting grant applications, OR
Education: A Master's or equivalent graduate degree, OR
Combination: Experience and education that equals 100%, when the percentage of experience and education are combined AND
Selective Placement Factor: E
xperience resolving perfect separation issues in statistical models.
Note: OPM defines a selective factor as "A competency/KSAs or special qualification without which a candidate could not perform the duties of a position in a satisfactory manner. Selective factors are applied in addition to minimum qualifications. Applicants who do not meet a selective factor are ineligible for further consideration."
Reference: For more information on this qualification standard, please visit https://www.va.gov/ohrm/QualificationStandards/.
Physical Requirements: The work is predominantly sedentary. Typically, the employee sits comfortably to do the work. However, there will be some walking, standing, bending and carrying of items of moderate weight such as large binders, banker style file boxes, meeting materials, papers, books or small parts. Hand and eye coordination for delicate testing procedures may be the only special physical demand required to perform the work.Education:A transcript must be submitted with your application if you are basing all or part of your qualifications on 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