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Statistical Programmer Jobs in Chandler, AZ (NOW HIRING)

Scalence L.L.C.

Platform Engineer

Phoenix, AZ · On-site

Required : • Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, Engineering, or a related field. • 10 years of experience in Product Ownership ...

IDEALFORCE LLC

SQL Developer(35348)

Phoenix, AZ · On-site

$45 - $61.50/hr

Using various tools, develop reports, summaries, and visual representations of data, perform statistical programming, develop databases and provide consultation and technical assistance to the ...

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Educate and mentor team members on data science best practices, statistical programming, and data preparation Minimum Requirements: * 5 years of experience as a Data Scientist working with large ...

Innovative Health LLC

Sr. R&D Engineer

Scottsdale, AZ · On-site

$101K - $139K/yr

... 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. · ...

Innovative Health LLC

Sr. R&D Engineer

Scottsdale, AZ · On-site

$101K - $139K/yr

... Management, Statistics, Engineering Principles, Test Method Development, Test Method Validation (Gage R&R), and Design Verification / Validation. • Proficiency in CAD design and drafting ...

Innovative Health

Sr. R&D Engineer

Scottsdale, AZ · On-site

$105K - $144K/yr

... 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. · ...

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

$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

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 ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Chandler, AZ

Statistical Programmer information

See Chandler, AZ salary details

$82.1K

$143.2K

$242K

How much do statistical programmer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical programmer in Chandler, AZ is $143,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $155,500.00 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.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Chandler, AZ as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $143,169 per year, or $68.8 per hour.

Platform Engineer

Scalence L.L.C.

Phoenix, AZ • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a skilled Platform Engineer with a strong background in data analytics and product ownership. The ideal candidate will work with data warehouses, data lakes, and cloud platforms, particularly GCP Bigquery, to define product vision and collaborate with various teams.
Responsibilities:
• Define and communicate the vision, roadmap, and strategy for data products.
• Align product objectives with business goals and data strategy.
• Create, maintain, and prioritize the product backlog.
• Collaborate with business leaders, analysts, data engineers, data scientists, and technical teams.
• Lead the development of dashboards, reporting platforms, data pipelines, and data marts.
• Act as Product Owner within Agile/Scrum teams, participating in sprint planning, backlog refinement, reviews, and retrospectives.
• Analyze business processes and identify opportunities for optimization through data.
Qualifications:
Required:
• Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, Engineering, or a related field.
• 10 years of experience in Product Ownership, Product Management, Business Analysis, or Data Product Management.
• Strong understanding of Agile/Scrum methodologies.
• Proficiency in SQL and data analysis.
• Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong stakeholder management and communication skills.
• Ability to translate complex business requirements into technical solutions.
• Prior work experience at client or in client's industry.
• Applicants must be able to work directly for Artech on W2.
Preferred:
• Experience with data ingestion frameworks, data controls, and related operational considerations.
• Hands-on experience with GCP Bigquery.
• Experience with machine learning products and self-service analytics solutions.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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