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Statistical Programmer Jobs in Draper, UT (NOW HIRING)

Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics * You are committed to honesty and a diverse and ...

Tooele, UT Job Summary The Process Engineer has the responsibility to develop, analyze and ... Generating documentation, technical reports, experimental design, statistical analysis are all ...

Tooele, UT Job Summary The Process Engineer has the responsibility to develop, analyze and ... Generating documentation, technical reports, experimental design, statistical analysis are all ...

Engr 3, Quality

Salt Lake City, UT · On-site

$69K - $89K/yr

... engineering skills for medical devices. This person will handle projects and tasks, from product ... Acceptance sampling theory and application, statistical process control methods and application ...

New

The Tooling Engineer I will support the Injection Molding Tooling and other Departments by ... Gain experience with statistical analysis, process validation, and continuous improvement ...

Senior Process Engineer

Salt Lake City, UT · On-site

$101K - $130K/yr

Senior Process Engineer | Req ID: 16166 | HR Contact: Edgar Alexander DERCE MOLINARES | Location ... Demonstrate use of statistical methodologies to understand, analyze and drive reduction in process ...

The Process Engineer plans, directs, and coordinates manufacturing processes by providing technical ... Apply statistical methods to estimate future manufacturing requirements and potential.

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Statistical Programmer information

See Draper, UT salary details

$79K

$137.7K

$232.8K

How much do statistical programmer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistical programmer in Draper, UT is $137,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $149,600.00 per year, depending on experience, location, and employer.

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.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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 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.

How hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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 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.

What are popular job titles related to Statistical Programmer jobs in Draper, UT? For Statistical Programmer jobs in Draper, UT, the most frequently searched job titles are:
Infographic showing various Statistical Programmer job openings in Draper, UT as of July 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $137,695 per year, or $66.2 per hour.
Analytics Engineer

Analytics Engineer

Podium

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we've deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
Analytics Engineer
This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be the internal Sales Operations and Analytics team but you will also work cross-functionally with talented Software Engineers, Data Engineers, and Data Scientists. The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.
What you will be doing:
  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect scalable data solutions that empower all of Podium to work with data through agentic processes more easily and efficiently
  • Write documentation for best practices and to record Podium's data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

What you should have:
  • 3+ years of work experience with SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience with Python
  • 2+ years of work experience using Git for version control
  • Experience using dbt and Snowflake is desirable
  • Demonstrated knowledge of how agents interact with data and how to build secure, scalable data interfaces for humans and AI
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace

What we hope you have:
  • Experience supporting Sales operations and GTM teams

Why you'll love working here:
  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits
  • (If local to Utah) Work in this building in Lehi, UT 5 days a week
  • Open and transparent culture
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan
  • Bi-annual swag drops with cool Podium gear and apparel
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.