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Python R Developer Jobs in Raleigh, NC (NOW HIRING)

Duke University

Analytics Engineer

Durham, NC · On-site

Proficiency in SQL and data analysis using Python, R, or a similar analytical programming language. * Experience exploring, cleaning, transforming, and interpreting complex datasets. * Experience ...

Duke University

Analytics Engineer

Durham, NC · On-site

Proficiency in SQL and data analysis using Python, R, or a similar analytical programming language. * Experience exploring, cleaning, transforming, and interpreting complex datasets. * Experience ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... programming skills in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... programming skills in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and ...

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 ...

GSK

Principal Statistical Programmer

Durham, NC · On-site

The Principal Statistical Programmer will lead programming activities for one or more studies ... Experience with R, Python, and open-source analytics tools within regulated clinical development ...

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All JobsPython R Developer JobsPython R Developer Jobs in Raleigh, NC

Python R Developer information

See Raleigh, NC salary details

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$56

$83

How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

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

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

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in Raleigh, NC as of September 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $118,528 per year, or $57 per hour.

Statistical Programmer / Clinical Data Architect

Raleigh, NC • On-site

Volto USA
See more jobs at Volto USAexternal

Contractor

Re-posted 10 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