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Clinical R Programmer Jobs (NOW HIRING)

IQVIA

Principal R Programmer

Durham, NC

$98.20K - $273.20K/yr

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to meet internal and external needs. Uses R and companion software to develop custom programming code to ...

IQVIA

Principal R Programmer

Durham, NC

$98.20K - $273.20K/yr

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to meet internal and external needs. Uses R and companion software to develop custom programming code to ...

IQVIA, Inc.

Principal R Programmer

Durham, NC · On-site

$98.20K - $273.20K/yr

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to meet internal and external needs. Uses R and companion software to develop custom programming code to ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Knowledge of R programming in clinical trials Familiarity of the drug development process. Knowledge of CDISC standards and electronic submission requirements. Strong SAS and SAS Macro language ...

Cytel

Senior Clinical Programmer

Cambridge, MA · On-site +1

Proficient in clinical data programming languages (e.g., SAS, R, SQL, etc.). * Expertise in clinical programming platforms, including experience with clinical data workflows, data integration, and ...

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How much do clinical r programmer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for clinical r programmer in the United States is $64.77, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.32 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 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.

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 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.

More about Clinical R Programmer jobs
What cities are hiring for Clinical R Programmer jobs? Cities with the most Clinical R Programmer job openings:
What states have the most Clinical R Programmer jobs? States with the most job openings for Clinical R Programmer jobs include:
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Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 71% Full Time, 16% Part Time, and 9% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $134,731 per year, or $64.8 per hour.
Principal Data Scientist Consultant- R programmer (Remote)

Principal Data Scientist Consultant- R programmer (Remote)

ClinChoice

Remote

Full-time

Posted 14 days ago

Job description

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it's the best of both worlds...
ClinChoice is searching for a Principal Clinical Data Scientist Consultant - R Programmer to join one of our clients.
We are seeking a Clinical R programmer / Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates.
Key Responsibilities
  • Develop, validate, and maintain SDTM and ADaM datasets in R - using admiral and the broader pharmaverse - following CDISC standards.
  • Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs.
  • Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness.
  • Write efficient, reproducible, well-structured R code for clinical data analysis and reporting.
  • Contribute to open-source and internal tooling - including R Shiny / teal modules, R packages, SAS macros, and Python utilities - used by clinical programming, data management, and biostatistics teams.
  • Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables.
  • Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA).
  • Support automation, pipeline development, and version-controlled workflows.
  • Use SAS for legacy studies or where SAS support is needed.
Required Qualifications
  • Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
  • 5+ years in clinical programming, with a strong focus on R.
  • Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral.
  • Experience with Pinnacle21 validation and remediation.
  • Working knowledge of SAS programming.
  • Working knowledge of Python for analytics, scripting, or tooling.
  • Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming.
  • Experience with clinical trial data, regulatory submissions, and QC processes.
  • Strong analytical, problem-solving, and documentation skills.
Preferred Qualifications
  • Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency.
  • Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams.
  • Exposure to AI/ML tooling in a clinical or programming context.
  • Real-World Evidence (RWE) experience - e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures.
  • R Markdown, Quarto, or other reproducible reporting workflows.
  • GxP validation, Git-based version control, and CI/CD or automated workflows.
  • CRO or pharmaceutical industry experience.

The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
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