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Assistant R Statistical Programmer Jobs in Cary, NC

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 ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/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.

Principal R Programmer

Durham, NC · On-site

$98K - $273K/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.

Principal R Programmer

Durham, NC · On-site

$98K - $273K/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.

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Showing results 1-20

Assistant R Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

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

As of Jun 7, 2026, the average yearly pay for assistant 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 is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

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:
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What cities near Cary, NC are hiring for Assistant R Statistical Programmer jobs? Cities near Cary, NC with the most Assistant R Statistical Programmer job openings:

Statistical Programmer / Clinical Data Architect

Volto USA

Raleigh, NC • On-site

Contractor

Posted 4 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