ZipRecruiter

Log In

1

Statistical Programmer Jobs in Arizona (NOW HIRING)

Republic Services

Data Scientist I

Phoenix, AZ · On-site

Proficiency with programming in Python or R in data science and/or statistical analysis settings . * Proficiency with relational databases and the ability to write SQL queries. * Proficiency with ...

TSMC

Quality Management Engineer

Phoenix, AZ

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Applying statistics process control methods to establish and sustain a robust manufacturing process ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Applying statistics process control methods to establish and sustain a robust manufacturing process ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83.70K - $113.50K/yr

Adept at applying statistical tools and quality methodologies such as Six Sigma, Core tools, SPC ... Provide quality engineering expertise to assure compliance to specifications. * Leads activities to ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ

$83.70K - $113.50K/yr

Adept at applying statistical tools and quality methodologies such as Six Sigma, Core tools, SPC ... Provide quality engineering expertise to assure compliance to specifications. * Leads activities to ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ

$83.70K - $113.50K/yr

Adept at applying statistical tools and quality methodologies such as Six Sigma, Core tools, SPC ... Provide quality engineering expertise to assure compliance to specifications. * Leads activities to ...

Republic Services

Analytics Engineer II

Phoenix, AZ

Bachelor's degree in Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics or related analytical field plus three years of experience in data analytics ...

next page

Showing results 1-20

People also search for

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Arizona

Statistical Programmer information

See Arizona salary details

$78.7K

$137.3K

$232K

How much do statistical programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for statistical programmer in Arizona is $137,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $149,100.00 per year, depending on experience, location, and employer.

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 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 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.

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.

Is SAS a good career choice?

A career as a Statistical Programmer using SAS is in demand in industries such as pharmaceuticals, healthcare, and research, where data analysis and reporting are essential. Proficiency in SAS, along with knowledge of programming and statistical methods, can lead to stable employment and opportunities for advancement.

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 Arizona? The most popular types of Statistical Programmer jobs in Arizona are:
What are popular job titles related to Statistical Programmer jobs in Arizona? For Statistical Programmer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Arizona look for? The top searched job categories for Statistical Programmer jobs in Arizona are:
What cities in Arizona are hiring for Statistical Programmer jobs? Cities in Arizona with the most Statistical Programmer job openings:
What are popular job titles related to Statistical Programmer jobs in AZ? For Statistical Programmer jobs in AZ, the most frequently searched job titles are:
Statistical Programmer jobs near you
Data Scientist III with Security Clearance

Data Scientist III with Security Clearance

NewGen Technologies

Washington, DC

Other

Posted yesterday

Job description

This role is in support of a pending government opportunity. Candidates in the Chandler, AZ area are preferred.  Requirements * US Citizenship and eligibility for a Secret Clearance
* Master's or PhD degree in a quantitative field such as: Statistics, Engineering, Computer Science or Economics required OR additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
* 5+ years of experience with machine learning engineering, data science, data project engineering, or software development for data solutions
* Must have at least a Certified Analytics Professional (CAP) certification
* Experience with designing a technical solution and leading a team in the implementation of the technical design
* Experience with object-oriented programming languages (such as Python, JSON, C++, Java, R, or Scala)
* Experience with containerization tools, including Kubernetes and Docker
* Experience with architecting and designing novel analytic methods using machine learning methodologies
* Experience with developing and supporting data-oriented tasks for cybersecurity solutioning, including developing machine learning algorithms, data models, or architecture strategy for cyber defense purposes
* Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights
* Experience with designing and developing automation for security tools management, and create customized searches and applications
* Experience with Cloud Service Provider (CSP) solutions and their resources; (Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS)
* Experience with Security Information & Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) tools and capabilities
* Ability to leverage a variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity
* Familiarity of host and network-based security technologies
* Knowledge of MITRE ATT&CK and D3FEND frameworks
* Ability to apply analytical rigor and statistical/ML methods to analyze large amounts of data, using advanced statistical techniques
* Ability to perform analysis of structured and unstructured data to solve multiple and complex cybersecurity problems utilizing advanced statistical techniques and mathematical analyses
* Ability to support high visibility reporting on cybersecurity data through development of data visualizations and/or dashboards About Us
For more than 20 years, NewGen Technologies has solved our clients’ toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ

Apply