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Associate Statistical Programmer Jobs in Orem, UT

The Research Associate plays a key role in advancing the College of Dental Medicine and the ... Proficiency in statistical software and programming languages. * Experience with machine learning ...

Experience with statistical analysis software like JMP, R, or Minitab (preferred). Education and Experience: * Associate degree in Electronics, Mechanical Engineering Technology, or related field ...

Overview of the Position: Assist in the reverse engineering and drawing creation of FAA approved ... High school diploma or GED required; associate or bachelor's degree in technical field preferred ...

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Associate Statistical Programmer information

See Orem, UT salary details

$73.5K

$128.1K

$216.5K

How much do associate statistical programmer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for associate statistical programmer in Orem, UT is $128,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $139,100.00 per year, depending on experience, location, and employer.

What is an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. The role often requires knowledge of SAS software, statistical methods, and data management, with job growth driven by increasing data-driven decision making in these sectors.

What are the key skills and qualifications needed to thrive as an Associate Statistical Programmer, and why are they important?

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.

Can AI replace SAS?

As an Associate Statistical Programmer, AI tools can assist with data analysis and automation tasks traditionally performed using SAS, but they are not yet capable of fully replacing SAS software for complex statistical programming. Professionals often need to combine AI with SAS skills to improve efficiency and accuracy in clinical data management and analysis. Mastery of SAS remains valuable for regulatory compliance and detailed statistical work.

What is the salary of associate statistical programmer in Iqvia?

The salary for an Associate Statistical Programmer at IQVIA typically ranges from $60,000 to $80,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced programmers with relevant skills in SAS or R can earn higher salaries. Benefits often include health insurance, retirement plans, and opportunities for professional development.

What is SAS developer salary?

The salary for an Associate Statistical Programmer specializing in SAS typically ranges from $60,000 to $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced SAS developers with advanced skills can earn higher salaries, especially in the pharmaceutical and biotech industries where SAS is widely used.
What are the most commonly searched types of Statistical Programmer jobs in Orem, UT? The most popular types of Statistical Programmer jobs in Orem, UT are:
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What job categories do people searching Associate Statistical Programmer jobs in Orem, UT look for? The top searched job categories for Associate Statistical Programmer jobs in Orem, UT are:
Research Associate

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Roseman University Of Health Sciences rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Why Join Roseman? Because this is your chance to grow with a team-and a University-that's going places. We are a private, nonprofit institution preparing the next generation of healthcare leaders through innovation, compassion, and academic rigor. And we believe those same values should guide how we treat our employees.
Job Description:
The Research Associate plays a key role in advancing the College of Dental Medicine and the University's research mission. This position supports research initiatives through project coordination, data management, statistical analysis, artificial intelligence (AI) and data science applications, scholarly dissemination, and grant-related activities.
Working collaboratively with faculty, staff, residents, and students, the Research Associate helps drive research productivity, innovation, and evidence-based healthcare. This role also supports and promotes research activities within the Clinical Outcomes Research and Education (CORE) Center.
Essential Functions
Research Coordination & Program Support
  • Organize and facilitate research-related meetings, trainings, conferences, seminars, workshops, and presentations
  • Promote research opportunities and support the research, publication, and journal-related activities of the Clinical Outcomes Research and Education (CORE) Center

Data Management, Analytics & AI
  • Manage research data, including database development, data cleaning, statistical analysis, data visualization, and interpretation of findings
  • Develop, implement, and evaluate artificial intelligence (AI) and data science applications for clinical, educational, and health outcomes research

Scholarly & Grant Support
  • Prepare and contribute to manuscripts, abstracts, presentations, technical reports, grant proposals, and other scholarly products

Research Compliance & Regulatory Support
  • Support research compliance activities, including IRB submissions and renewals, regulatory documentation, and adherence to University, sponsor, and funding agency requirements

Collaboration & Academic Engagement
  • Collaborate with faculty, staff, residents, and students on research design, data analysis, and scholarly dissemination

Qualifications
  • Master's degree in Data Science, Statistics, Public Health, Health Informatics, Computer Science, Epidemiology, or a related field.
  • Experience working with large healthcare datasets, electronic health records, or clinical databases.
  • Proficiency in statistical software and programming languages.
  • Experience with machine learning, predictive modeling, natural language processing, or other AI techniques.

What We Offer
  • Medical, dental, and vision plans with a variety of options
  • Retirement matching up to 7.5%
  • Employee Assistance Programs, including mental health services
  • Generous vacation and sick leave for a strong work-life balance
  • Paid holidays
  • Eligibility for Public Service Loan Forgiveness (PSLF)
  • Additional employer-paid benefits

What To Do Next
Apply through our Career Center at Roseman.edu! Don't miss the chance to join our dynamic team-apply today and start your journey with us!
Roseman University of Health Sciences is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status.