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Statistical Programmer Jobs in Arizona (NOW HIRING)

MMS

Principal Biostatistician - Remote

Phoenix, AZ · On-site

Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments. * High technical level, Subject Matter Expert in biostatistics; willing to guide ...

Ra

Marketing Analytics Senior Manager

Phoenix, AZ · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Phoenix, AZ · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

MMS

Study Design Statistician (Remote)

Phoenix, AZ · On-site

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

US Department of the Air Force

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

U.S. Department of Defense (DOD)

$63.80K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

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 ...

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How much do statistical programmer jobs pay per year?

As of May 29, 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
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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:
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Statistical Programmer jobs near you

Principal Biostatistician - Remote

MMS

Phoenix, AZ • On-site

Full-time

Posted 14 days ago

Job description

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.

Roles and Responsibilities

  • Lead complex projects, programs and submissions, manages client meetings, CRMs, collaborates well with regulatory, PMs and sponsors.
  • Can develop SAPs and iSAPs text and shells with no supervision.
  • Produce and present external company presentations providing industry visibility for the organization; Continually suggesting solutions to solve issues in tune with organizational direction.
  • Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments.
  • High technical level, Subject Matter Expert in biostatistics; willing to guide others in a variety of biostatistical techniques.
  • Has the ability to apply drug development knowledge during production of complex statistical analyses.
  • Review or create the statistical section(s) of a Sponsor’s protocol and ensure that the appropriate statistical methods are proposed for the study design and objectives. Provide valuable feedback to the Sponsor on the statistical aspects of the study.
  • Prepare and review statistical methods and results sections for the CSR independently in collaboration with in-house medical writers.
  • Demonstrate an understanding of project management-related tasks such as timelines, scope and resource requirement estimation/management.
  • Perform sample size calculations for a variety of scenarios and study designs. Can provide statistical consulting support to sponsors re study design and sample size calculations.
  • Ability to create randomization and kit schedules independently, collaborate with sponsor, randomization and drug supply management teams.
  • Understand the various tools that we work with and able to use them correctly (for SCM: checks in/out; use of external SharePoint).
  • Provide support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician.
  • Is familiar with and stays current with the latest industry practices and updated regulatory guidelines.
  • Write blogs and/or white papers for posting on the company website.
Requirements
  • Masters in Biostatistics, Statistics discipline or related field, or related experience, PhD preferred.
  • Minimum of 7 years’ experience in Biostatistics, Statistics or similar field required.
  • Submission experience (ISS/ISE).
  • Has high level knowledge of drug development as it pertains to biostatistics.
  • Expert knowledge of scientific principles and concepts. 
  • Good communication skills and willingness to work with others to clearly understand needs and solve problems.  
  • Good organizational skills.
  • High proficiency with MS Office applications.        
  • Hands-on experience with clinical trial and pharmaceutical development preferred.
  • Excellent problem-solving skills.        
  • Familiarity with current ISO 9001 and ISO 27001 standards preferred.            
  • Familiarity with 21 CFR Part 11, FDA, and GCP requirements.
  • Good understanding of CROs and scientific & clinical data/terminology, & the drug development process.

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About M. M. S.

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

1 - 10 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

View All M. M. S. Jobs