ZipRecruiter

Log In

1

Internship R Statistical Programmer Jobs in Cary, NC

MMS

Study Design Statistician (Remote)

Raleigh, NC · On-site

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

IQVIA

Principal R Programmer

Durham, NC · On-site

$98.20K - $273.20K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

IQVIA, Inc.

Principal R Programmer

Durham, NC · On-site

$98.20K - $273.20K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

IQVIA

Principal R Programmer

Durham, NC

$98.20K - $273.20K/yr

Bachelor's degree in Math, Stats, Computer Science or similar * 5+ years of industrial experience * Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc.

next page

Showing results 1-20

People also search for

All JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Cary, NC

Internship R Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

How much do internship r statistical programmer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for internship r statistical programmer in Cary, NC is $136,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

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

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the most commonly searched types of R Statistical Programmer jobs in Cary, NC? The most popular types of R Statistical Programmer jobs in Cary, NC are:
What are popular job titles related to Internship R Statistical Programmer jobs in Cary, NC? For Internship R Statistical Programmer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Cary, NC look for? The top searched job categories for Internship R Statistical Programmer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Internship R Statistical Programmer jobs? Cities near Cary, NC with the most Internship R Statistical Programmer job openings:
Internship R Statistical Programmer jobs near you

Statistical Programmer / Clinical Data Architect

TechClub Inc.

Raleigh, NC

Other

Posted yesterday

Job description

Role: Senior Statistical Programmer / Clinical Data Architect

Location:  Raleigh, NC  - Local Only 

(100% onsite Role Only)

 

Job Description:

Role Overview

We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.

This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.

________________________________________

Key Responsibilities

Clinical Data Programming & Regulatory Submissions

•             Design, develop, and validate SDTM and ADaM datasets in compliance with CDISC standards

•             Lead generation of define.xml, aCRF/eCRF annotations, and submission-ready deliverables

•             Develop and optimize automated submission pipelines for FDA and global regulatory authorities

•             Ensure compliance with GxP, 21 CFR Part 11, HIPAA, and ICH E6 guidelines

Data Engineering & Automation

•             Architect and implement end-to-end clinical data pipelines using SAS, Python, and R

•             Develop reusable SAS macro libraries and automation frameworks

•             Build scalable data pipelines including modern formats (JSON/XPT alternatives)

•             Drive migration from legacy systems to modern data architectures

Cloud & Platform Engineering

•             Lead implementation and optimization of SAS Viya platforms on AWS/Azure

•             Manage cloud infrastructure components (EKS, EC2, EFS, FSx, Databricks, etc.)

•             Implement FinOps practices for cost governance and optimization

•             Evaluate and onboard next-gen analytics platforms (e.g., Databricks)

Leadership & Stakeholder Management

•             Lead cross-functional teams across US, UK, and offshore locations

•             Collaborate with clinical, statistical, regulatory, and IT stakeholders

•             Drive Agile delivery and sprint planning for data and platform initiatives

•             Manage vendor relationships, tool selection, and licensing strategies

Compliance & Governance

•             Ensure adherence to regulatory and audit requirements (FDA, OCC, SOX, Basel III as applicable)

•             Maintain audit-ready documentation and validation processes

•             Implement data governance, traceability, and reproducibility standards

________________________________________

Required Qualifications

•             Bachelor’s or Master’s degree in Computer Science, Statistics, Life Sciences, or related field

•             15+ years of experience in statistical programming and clinical data management

•             Strong expertise in:

o             SAS (Base, Macro, SQL, ODS, STAT, Graph)

o             CDISC standards (SDTM, ADaM, define.xml)

o             Regulatory submissions (FDA, global agencies)

•             Hands-on experience with:

o             Python (Pandas) and/or R (admiral, Shiny)

o             Cloud platforms (AWS/Azure)

•             Strong understanding of GxP and clinical compliance frameworks

________________________________________

Preferred Qualifications

•             Experience with SAS Viya architecture and administration

•             Familiarity with Databricks, DBT, or modern data engineering tools

•             Knowledge of CI/CD tools (Jenkins, Git)

•             Experience in financial/regulatory environments (Basel III, CCAR, OCC) is a plus

•             AWS or cloud certifications

________________________________________

Key Skills

•             Clinical Data Standards: SDTM, ADaM, CDISC

•             Programming: SAS, Python, R, SQL

•             Cloud: AWS, Azure

•             Tools: Pinnacle 21, Git, Jenkins, Power BI, Grafana

•             Methodologies: Agile, DevOps, Data Governance

 

 

Apply