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Clinical R Programmer Jobs in Apex, NC (NOW HIRING)

Designs and develops tools in SAS Macro (required); familiarity with Linux scripting, R, or Python ... Represents Clinical Data Engineering and Macro Support in cross-functional meetings. * Partners ...

Designs and develops tools in SAS Macro (required); familiarity with Linux scripting, R, or Python ... Represents Clinical Data Engineering and Macro Support in cross-functional meetings. * Partners ...

Provide statistical consultation on clinical trial design and analysis across multiple development ... Strong statistical programming skills (R preferred; equivalent tools considered). * Sound knowledge ...

Provide statistical consultation on clinical trial design and analysis across multiple development ... Strong statistical programming skills (R preferred; equivalent tools considered). * Sound knowledge ...

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Clinical R Programmer information

See Apex, NC salary details

$18

$49

$78

How much do clinical r programmer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for clinical r programmer in Apex, NC is $49.36, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $55.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Clinical R Programmer, and why are they important?

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

What are Clinical R Programmers?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What are some common challenges faced by Clinical R Programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
What are popular job titles related to Clinical R Programmer jobs in Apex, NC? For Clinical R Programmer jobs in Apex, NC, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Apex, NC look for? The top searched job categories for Clinical R Programmer jobs in Apex, NC are:
What cities near Apex, NC are hiring for Clinical R Programmer jobs? Cities near Apex, NC with the most Clinical R Programmer job openings:
Infographic showing various Clinical R Programmer job openings in Apex, NC as of June 2026, with employment types broken down into 9% As Needed, 14% Full Time, 72% Part Time, 1% Temporary, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $102,660 per year, or $49.4 per hour.
Senior Epidemiological Programmer, Real World Evidence - FSP

Senior Epidemiological Programmer, Real World Evidence - FSP

IQVIA

Durham, NC • On-site

$88K - $220K/yr

Full-time

Posted 28 days ago


IQVIA rating

8.2

Company rating: 8.2 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

45th of 205 rated it services


Job description

IQVIA is hiring to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company. Epidemiological Programmer role sits within our Real World Solutions team and will be responsible for leading development of datasets and conducting longitudinal analyses for observational studies in the virology therapeutic area under one client portfolio. It is important for this individual to have demonstrated experience and applied proficiency in observational research utilizing EMR and claims data, a strong statistical programming skillset, both knowledge and applied experience with epidemiological study design, terminology, cohort building, and RWE outcome measures, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client's best practices, standards, and methodologies underlying the use of real-world data (RWD).

Essential Functions

  • Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (e.g. Optum, HealthVerity, TriNetX, IQVIA PharMetrics Plus)
  • Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.
  • Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle censored data, confounding, differing person-time, and missing data
  • Collaborate with epidemiologists on study design and methodology, as well as define specifications for descriptive and complex statistics (e.g. longitudinal analysis, survival analysis, regression models, propensity score methods) in studies using RWD for virology research questions
  • Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR)
  • Support development of other study documents including protocols, statistical analysis plans, and study reports
  • Communicate timelines, progress reports, and results to project team and key stakeholders
  • Provide technical, programming, statistical, and epidemiological expertise and independently bring project solutions to team for complex studies

Qualifications

  • Master's Degree in Biostatistics, Epidemiology, Outcomes Research or related field with 5-8 years relevant experience or PhD with 3 years relevant experience required
  • Strong track record of analysis of RWD using EMR and claims data
  • Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL required
  • Demonstrated experience and applied proficiency of RWE study design, terminology, cohort building, and analytic methodologies
  • Prior pharmaceutical or CRO experience
  • Excellent analytic and communication skills with attention to detail
  • Ability to effectively manage and prioritize multiple tasks and projects

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be 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, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US