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Sas R Python Internship Jobs in Durham, NC (NOW HIRING)

IT Analyst/Programmer - 2

Chapel Hill, NC

$29.25 - $37.75/hr

Additional programming competencies outside of SQL, such as SAS, R, Python, or Java. * Demonstrable understanding of regulations around clinical data used for research purposes, particularly HIPAA ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Introduction to R/Python for Data Science, * Introduction to Data Visualization, * Data ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Experience with R, Python, SQL, Git, or other modern programming/version control tools. * Experience with SAS Enterprise Guide or other SAS-based clinical programming environments. * Experience ...

Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus * Excellent ... Responsibilities will vary based on the internship role, and may include: * Collaborating on ...

Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus * Excellent ... Responsibilities will vary based on the internship role, and may include: * Collaborating on ...

... using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics. * DE ...

... using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics. * DE ...

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to ... Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

Experienced R programmer needed to provide technical expertise for clinical PK/PD department to ... Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

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Sas R Python Internship information

See Durham, NC salary details

$7

$52

$74

How much do sas r python internship jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for sas r python internship in Durham, NC is $52.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $57.84 per hour, depending on experience, location, and employer.

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.

Other

Posted 14 days ago


Job description

Position: SAS Viya Developer
Location: Raleigh, NC
Duration: Contract
Role Overview
  • We are seeking a highly experienced SAS Viya devloper with experience between 5 to 10 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:
  • SAS (Base, Macro, SQL, ODS, STAT, Graph)
  • CDISC standards (SDTM, ADaM, define.xml)
  • Regulatory submissions (FDA, global agencies)
  • Hands-on experience with:
    • Python (Pandas) and/or R (admiral, Shiny)
    • Cloud platforms (AWS/Azure)
  • Strong understanding of GxP and clinical compliance frameworks