ZipRecruiter

Log In

1

Principal Statistical Programmer Jobs in Arizona

5SRC

Principal T&E Integrator

Fort Huachuca, AZ · On-site

Master's degree in engineering, Cybersecurity, Computer Science, Operations Research, or a related ... Mastery of T&E methodologies, test design, and statistical data analysis. * Exceptional technical ...

Socket.dev

Principal T&E Integrator

Fort Huachuca, AZ · On-site

$140 - $190/hr

Master's degree in engineering, Cybersecurity, Computer Science, Operations Research, or a related ... Mastery of T&E methodologies, test design, and statistical data analysis. * Exceptional technical ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... PRINCIPAL RESPONSIBILITIES: * Designs and builds advanced statistical, predictive, machine learning ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... PRINCIPAL RESPONSIBILITIES: * Designs and builds advanced statistical, predictive, machine learning ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III balances statistical rigor, engineering best practices, and business impact ... PRINCIPAL RESPONSIBILITIES: * Designs and builds advanced statistical, predictive, machine learning ...

previous pagenext page

Showing results 21-40

All JobsPrincipal Statistical Programmer JobsPrincipal Statistical Programmer Jobs in Arizona

Principal Statistical Programmer information

See Arizona salary details

$51

$78

$108

How much do principal statistical programmer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for principal statistical programmer in Arizona is $78.80, according to ZipRecruiter salary data. Most workers in this role earn between $67.88 and $90.96 per hour, depending on experience, location, and employer.

What is a principal statistical programmer?

A Principal Statistical Programmer is a senior-level professional responsible for developing, validating, and maintaining statistical programs used in clinical trials and regulatory submissions. They ensure data accuracy, adherence to industry standards (such as CDISC), and compliance with regulatory requirements. They collaborate with statisticians, data managers, and clinical teams to analyze and report trial results. Additionally, they may mentor junior programmers and contribute to process improvements in statistical programming workflows.

What are the typical daily responsibilities of a principal statistical programmer in a clinical research setting?

As a Principal Statistical Programmer, your daily responsibilities often include developing, validating, and maintaining complex statistical programs to support clinical trial data analysis and regulatory submissions. You may lead programming teams, mentor junior staff, and act as a technical expert on study projects, collaborating closely with statisticians, data managers, and clinical teams. The role frequently involves reviewing statistical analysis plans (SAPs), generating data listings and summary tables, and ensuring adherence to industry standards such as CDISC. Effective communication and time management are key, as you’ll often work on multiple projects simultaneously, balancing deliverables and troubleshooting technical challenges. This position offers diverse, impactful work where your expertise significantly contributes to the integrity and success of clinical research programs.

What are the key skills and qualifications needed to thrive in the principal statistical programmer position, and why are they important?

To thrive as a Principal Statistical Programmer, you need advanced expertise in statistical programming (typically with SAS or R), a strong understanding of clinical trial data, and a degree in a relevant field such as statistics, mathematics, or computer science. Familiarity with CDISC standards (SDTM, ADaM), regulatory submission requirements, and project management tools is highly valued, and certifications like SAS Certified Advanced Programmer can be advantageous. Leadership, problem-solving, attention to detail, and excellent communication skills are important for managing complex projects and collaborating across multidisciplinary teams. These skills collectively ensure accuracy, regulatory compliance, and successful delivery of statistical programming support within clinical research environments.

What are popular job titles related to Principal Statistical Programmer jobs in Arizona?

For Principal Statistical Programmer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Principal Statistical Programmer jobs in Arizona look for?

The top searched job categories for Principal Statistical Programmer jobs in Arizona are:

What are popular job titles related to Principal Statistical Programmer jobs in AZ?

For Principal Statistical Programmer jobs in AZ, the most frequently searched job titles are:

Principal Statistical Programmer jobs near you
Infographic showing various Principal Statistical Programmer job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $163,904 per year, or $78.8 per hour.

Principal Data Scientist - Factory Intelligence

Prattwhitney

Tucson, AZ • On-site

$107.50 - $204.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Principal Data Scientist – Factory Intelligence

Location: Tucson, Arizona. Work type: Hybrid. U.S. citizens only. Security clearance: Secret (required prior to start, interim clearance available).

What you will do
  • Transform factory data into actionable intelligence that improves production performance.
  • Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions.
  • Develop models that directly impact yield, reduce variation, and support smarter decision‑making.
  • Design, deploy, and maintain production‑grade machine learning solutions.
  • Build intuitive data visualization tools and statistical analysis applications.
  • Partner with stakeholders to translate complex data into clear, practical insights.
  • Provide technical leadership and mentor junior data scientists and engineers.
  • Establish best practices in applied data science across the organization.
  • Become a subject‑matter expert in factory test data and uncover opportunities for improvement.
  • Solve challenging, data‑driven manufacturing problems and deliver measurable production enhancements.
  • Work directly with customers to ensure data is fully leveraged to improve performance.
  • Contribute to scalable, production‑ready data science solutions and help advance the organization’s analytics standards.
  • Operate effectively in a fast‑paced, multi‑tasking environment.
Qualifications You Must Have
  • University degree or equivalent experience and a minimum of 8 years of relevant experience, or an advanced degree and a minimum of 5 years of experience.
  • Experience developing in Python (NumPy, SciPy, scikit‑learn, scikit‑image) for production‑grade statistical or machine learning applications.
  • Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments.
  • Experience with relational database management and SQL development.
  • U.S. citizen. Active and transferable U.S. government‑issued security clearance required prior to start; U.S. citizenship required as only citizens are eligible for a clearance.
Preferred Qualifications
  • Experience with statistical tools such as Minitab, R, JMP, or SAS.
  • Strong knowledge of machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management.
  • Strong experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
  • Experience designing, training, fine‑tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
  • Experience working with large language models (LLMs), including fine‑tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
  • Experience operating in a technical leadership or mentoring role.

Salary range: $107,500 - $204,500 USD.

Benefits are available to Hired applicants, including medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and collective‑bargaining agreement.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

#J-18808-Ljbffr

Apply