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R Programming Jobs in Raleigh, NC (NOW HIRING)

GSK

Principal Statistical Programmer

Durham, NC · On-site

Expertise in R programming. * 6+ years of clinical programing experience * 5+ years of experience in the Pharmaceutical or Biotechnology industry. * Experience using generative AI tools and coding ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc • R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc • Visualization - Tableau ...

R.E. Mason

Senior DeltaV Batch Engineer

Raleigh, NC · On-site

$101K - $139K/yr

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will deliver quality solutions and services to customers using the ...

R.E. Mason

Senior DeltaV Batch Engineer

Zebulon, NC · On-site

$88K - $121K/yr

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will deliver quality solutions and services to customers using the ...

R.E. Mason

Senior DeltaV Batch Engineer

Raleigh, NC

$101K - $139K/yr

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will deliver quality solutions and services to customers using the ...

R.E. Mason

Senior DeltaV Batch Engineer

Zebulon, NC · On-site

$88K - $121K/yr

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will deliver quality solutions and services to customers using the ...

R.E. Mason

AutoCAD Electrical Engineer

Raleigh, NC · Hybrid

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... Candidates need a solid understanding of drafting techniques and familiarity with engineering ...

R.E. Mason

AutoCAD Electrical Engineer

Raleigh, NC · On-site

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... Candidates need a solid understanding of drafting techniques and familiarity with engineering ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

R.E. Mason

Automation Engineer - DCS

Raleigh, NC · On-site

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will work in the development, delivery, and commissioning of ...

R.E. Mason

Automation Engineer - DCS

Raleigh, NC · On-site

R.E. Mason is an Emerson Impact Partner covering North Carolina, South Carolina, and Virginia ... The Automation Engineer will work in the development, delivery, and commissioning of ...

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All JobsR Programming JobsR Programming Jobs in Raleigh, NC

R Programming information

See Raleigh, NC salary details

$77.8K

$120.5K

$146.8K

How much do r programming jobs pay per year?

As of Aug 26, 2026, the average yearly pay for r programming in Raleigh, NC is $120,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $135,600.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

What types of projects do R programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

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

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data-driven decision making and research. The demand is expected to grow as organizations increasingly rely on data analysis tools.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical concepts and data manipulation tools.

What are the most commonly searched types of R Programming jobs in Raleigh, NC?

The most popular types of R Programming jobs in Raleigh, NC are:

What are popular job titles related to R Programming jobs in Raleigh, NC?

For R Programming jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching R Programming jobs in Raleigh, NC look for?

The top searched job categories for R Programming jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for R Programming jobs?

Cities near Raleigh, NC with the most R Programming job openings:

R Programming jobs near you
Infographic showing various R Programming job openings in Raleigh, NC as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,531 per year, or $57.9 per hour.

Statistical Programmer / Clinical Data Architect

Volto USA

Raleigh, NC • On-site

Contractor

Re-posted 24 days ago

Job description

Job Description: Local to Raleigh, NC  Only!
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