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Statistical Programming Jobs in Phoenix, AZ (NOW HIRING)

Belcan

Quality Engineer

Glendale, AZ · On-site

$90 - $94K/hr

Quality Engineer Pay Rate: $90 - $94K Location: Glendale, AZ Area Code: 623, 602 ZIP Code: 85307 ... Provides statistical information for quality improvement by gathering data on trends and root cause ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting * Data Visualization Power BI Tableau ...

SynergisticIT

Data Engineer - Remote

Chandler, AZ · On-site

$116K - $140K/yr

Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech ...

Fox Valley Metal Tech, Inc.

QUALITY ENGINEER

Chandler, AZ · On-site

$90K/yr

... statistical techniques. • Coordinate process/product improvements using 6-sigma, 8D, and other ... Engineering, or equivalent experience. • Working knowledge of basic and advanced Quality Tools ...

NextDeavor Inc.

Quality Engineer

Glendale, AZ · On-site

$90K - $94K/yr

Quality Engineer Full-time Glendale, AZ, US Exclusive confidential search -- details shared with ... Assess quality performance using statistical and analytical methods and report trends and root ...

SynergisticIT

Java Developer with AWS (Remote)

Tempe, AZ

$49.75 - $64.25/hr

... in programming language Java and understanding of the software development life cycle knowledge of statistics, gen AI, LLM, Python, computer vision, data visualization tools excellent written and ...

Axon

Manufacturing Quality Engineer II

Phoenix, AZ · On-site

$71K - $92K/yr

Use DMAIC principles and statistical analysis (e.g., Minitab, JMP) to identify process improvement opportunities. * Interface with manufacturing, engineering, and design teams to drive process ...

Corning

Materials Engineer

Phoenix, AZ

$67K - $92K/yr

Apply statistical and data analysis methods to evaluate process performance, reduce yield loss, and ... Partner with production, quality, and engineering teams to implement sustainable process and ...

Corning

Materials Engineer

Tolleson, AZ · On-site

$67K - $92K/yr

Apply statistical and data analysis methods to evaluate process performance, reduce yield loss, and ... Partner with production, quality, and engineering teams to implement sustainable process and ...

Corning

Materials Engineer

Tolleson, AZ

$67K - $92K/yr

Apply statistical and data analysis methods to evaluate process performance, reduce yield loss, and ... Partner with production, quality, and engineering teams to implement sustainable process and ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in Phoenix, AZ

Statistical Programming information

See Phoenix, AZ salary details

$83.9K

$146.2K

$247.2K

How much do statistical programming jobs pay per year?

As of Jun 11, 2026, the average yearly pay for statistical programming in Phoenix, AZ is $146,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $158,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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 strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Phoenix, AZ? The most popular types of Statistical Programming jobs in Phoenix, AZ are:
What are popular job titles related to Statistical Programming jobs in Phoenix, AZ? For Statistical Programming jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Statistical Programming jobs in Phoenix, AZ look for? The top searched job categories for Statistical Programming jobs in Phoenix, AZ are:
Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in Phoenix, AZ as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $146,247 per year, or $70.3 per hour.
Ocotillo Technology Fabrication Process Integration and Yield Engineer

Ocotillo Technology Fabrication Process Integration and Yield Engineer

INTEL

Phoenix, AZ • On-site

$116K - $163K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers

Job description

Job Description

Job Description

Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control.

The role of a Process Integration and Yield Engineer is to deliver high quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes.

Responsibilities may include, but are not limited to:

  • Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues.
  • Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
  • Lead/participate continuous improvement projects on products and processes for improved performance.
  • Provide expertise on process flow segments.
  • Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.

The ideal candidate should exhibit the following behavioral traits:

  • Solid analytical skills and a passion for data analysis and problem solving.
  • Organizational skills with attention to detail.
  • Excellent interpersonal skills with the ability to work with people at all levels.
  • Communication and presentation skills to influence a wide variety of groups at all levels.
  • Demonstrate excellent teamwork and leadership skills, demonstrated problem solving and prioritization skills, and driving high performance maintenance goals for the group.
Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSE degree in Electrical Engineering, Microelectronics Engineering, Material Science Engineering, Chemical Engineering, Mechanical Engineering, Optical Engineering, Statistics/Data Science, Chemistry, Physics or related field of study with 4+ years of experience, or Master’s degree with 3+ years of experience or a Ph.D. in the above labeled fields.
  • Depending on the degree level obtained, the mentioned years of experience will be needed in each of the below areas:
    • Knowledge of Semiconductor fabrication and processing techniques (Lithography, Etch, CMP, Thin Films, Plating, etc.)
    • Statistical Process Control and Design of experiments (DOE) principles, Statistical Data Analysis (Examples include: JMP/JSL, Python, SQL)

Preferred Qualifications:

  • Programing Experience in JMP/JSL, Python, R and SQL
  • 2+ yrs of New Technology startup experience
  • 5+ years of advanced node Foundry experience in Process/Yield Engineering.
Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $116,100.00-$163,800.00
*Salary range dependent on a number of factors including location and experienceWorking ModelThis role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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