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Statistical Programmer Jobs in Arizona (NOW HIRING)

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. • 3-5 years of experience in data science or advanced analytics ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

Coursework in Statistical Programming, Simulation, Regression * Knowledge of and ability to interpret Probability Distributions, Hypothesis Testing, Regression techniques like Logistic Regression ...

Intel

Quality Reliability Engineer

Phoenix, AZ · On-site

$101K - $128K/yr

Data Analytics / Reliability Statistics Perform Weibull analysis, DOE studies, and reliability ... D. in Materials Science, Mechanical Engineering, Electrical Engineering, Reliability Engineering ...

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Sr. Data Analyst

Tempe, AZ · On-site +1

Coursework in Statistical Programming, Simulation, Regression * Knowledge of and ability to interpret Probability Distributions, Hypothesis Testing, Regression techniques like Logistic Regression ...

Intel Corporation

Quality Reliability Engineer

Phoenix, AZ · On-site

$101K - $128K/yr

Data Analytics / Reliability Statistics • Perform Weibull analysis, DOE studies, and reliability ... D. in Materials Science, Mechanical Engineering, Electrical Engineering, Reliability Engineering ...

Achieve

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Coursework in Statistical Programming, Simulation, Regression * Knowledge of and ability to interpret Probability Distributions, Hypothesis Testing, Regression techniques like Logistic Regression ...

Rain Bird Corporation

Sr. Quality Engineer

Tucson, AZ · On-site

$83K - $113K/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 · On-site

$83K - $113K/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

$83K - $113K/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 ...

Prosper

Data Scientist, Credit Risk Analytics

Phoenix, AZ · On-site

$129 - $179/hr

Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL). * Solid understanding of coding best practices, model documentation, and ML ops principles.

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Gregg Carroll Recruiting Services

Be Seen First

Senior Semiconductor Test Engineer

Tucson, AZ · On-site

$145K - $195K/yr

Apply statistical methods and structured problem-solving techniques to improve process capability and product performance. * Mentor engineers, technicians, and cross-functional team members while ...

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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 Aug 21, 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 is a statistical programmer?

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 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 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

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $137,259 per year, or $66 per hour.

Sr. R&D Engineer- Relocation Assistance Provided

Innovative Health

Scottsdale, AZ • On-site

$105K - $144K/yr

Full-time

Posted 16 days ago

Job description

The Senior R&D Engineer role is responsible for designing, developing, validating, and implementing various methods and processes, leading and assisting in projects to introduce new products into production. This role is expected to bring unique perspectives and creative solutions to challenges faced during reverse engineering and reprocessing technique development.

Essential Duties and Responsibilities:

• Assist and/or lead in development of new medical device platforms complying with design control process including applicable FDA and ISO requirements.

• Develop, write, and execute test methods.

• Train manufacturing/QC personnel as needed on test methods or manufacturing processes.

• Generate formal test protocols and reports.

• Execute test protocols and conduct bench testing. Document test results per GDP, ISO, and FDA requirements.

• Coordinate and oversee test sample builds. Assist with test sample builds as required.

• Use Solidworks to design test fixtures and devices. (if applicable)

• Design and fabricate test fixtures, tooling and equipment. (if applicable)

• Work with purchasing department to specify and procure capital equipment.

• Serve as a cross-functional team member for various project-related activities.

• Assist or lead process improvement projects to reduce costs.

• Assist with DFMEA and PFMEA risk assessments.

• Compile project status updates and present to senior management.

• Comply with company policies and procedures.

• Maintain project schedule and deliver projects on time.

• Focus on delivering products to support the R&D project pipeline.

• Provide technical leadership to junior engineers and technicians.

Clinical Support Responsibilities:

• Attend clinical cases for learning, device launch, and troubleshooting.

• Interact with clinicians and field personnel to understand clinical needs and provide technical support.

• Develop and maintain a deep understanding of medical device reprocessing techniques, including cleaning, sterilization, and biocompatibility requirements.

• Develop and maintain relationships with key opinion leaders and clinical partners.

Medical Device Reprocessing Responsibilities:

• Develop and optimize reprocessing methods for single-use medical devices.

• Conduct performance, biocompatibility and sterilization testing on reprocessed devices.

• Ensure compliance with all regulatory requirements for medical device reprocessing.

• Participate in cross-functional teams to introduce reprocessed devices into production.

Supervisory Responsibilities:

· Provide mentoring and guidance to other R&D team members, as well as supervise and manage the work of junior engineers.

Education, Qualifications and Skills:

· Minimum education: Bachelor's degree in engineering discipline (or equivalent experience)

· Minimum experience: 7-12 years of experience

· Strong background in R&D with experience in electromechanical medical devices.

· Experience with various types of medical device design verification testing in accordance with FDA regulations: device functional performance, biocompatibility, sterilization, packaging, transportation simulation, real-time and accelerated aging, etc.

· Excellent technical writing skills and substantial experience writing test plans, protocols, and reports.

· Excellent problem-solving skills as well as keen analytical abilities.

· Knowledge of Design Controls, Risk Management, Statistics, Engineering Principles, Test Method Development, Test Method Validation (Gage R&R), and Design Verification / Validation.

· Proficiency in CAD design and drafting (SolidWorks) a plus.

· Ability to work in a fast-paced, collaborative team environment.

· Strong hands-on prototyping skills.

· Self-starter and highly motivated.

· Ability to have fun by motivating and encouraging other team members.

Apply