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Python R Developer Jobs in Chapel Hill, NC (NOW HIRING)

Elder Research

Technical Business Analyst

Raleigh, NC · On-site

Programming skills (Python, R, or similar) for data analysis and automation. * Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL processes, APIs, and ...

Elder Research

Technical Business Analyst

Raleigh, NC · Hybrid

Programming skills (Python, R, or similar) for data analysis and automation. * Familiarity with data visualization tools (Power BI, Tableau, Looker). * Understanding of ETL processes, APIs, and ...

Q2 India

Machine Learning Engineer

Cary, NC · On-site

Proficiency in programming languages such as Python, R, or Java * Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) * Familiarity with cloud platforms and scalable computing ...

Q2

Machine Learning Engineer

Cary, NC

... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ... engineering work This position requires fluent written and oral communication in English.

Q2 Software, Inc.

Machine Learning Engineer

Cary, NC · On-site

... as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit ... engineering work This position requires fluent written and oral communication in English.

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All JobsPython R Developer JobsPython R Developer Jobs in Chapel Hill, NC

Python R Developer information

See Chapel Hill, NC salary details

$11

$49

$73

How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer in Chapel Hill, NC is $49.89, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $56.68 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 Chapel Hill, NC are hiring for Python R Developer jobs?

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

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in Chapel Hill, NC as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $103,771 per year, or $49.9 per hour.

Senior Technical Support Engineer - Care Delivery

Raleigh, NC • On-site

Verily Life Sciences
1 - 5K employees
Learn more about Verily Life Sciencesexternal

Full-time

Re-posted 25 days ago

Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
The Technical Solutions team focuses on care and research innovation. We support new business by expanding the boundary of the product in select areas, and we provide a scalable technical support framework for OneVerily, Verily Workbench, Onduo, Stargazer, and other new portfolios. As a Senior Technical Support Engineer, you will work closely with internal stakeholders to identify, reproduce, troubleshoot and resolve deep technical issues. You will also provide support for infrastructure, permission, and configuration changes. These high-level technical support and sustaining engineering services will help customers achieve their business outcomes. You will have the opportunity to collaborate with customers, top developers, architects, and operations teams to troubleshoot complex and challenging issues. You will help build support tooling and infrastructure.
The position necessitates travel, which is anticipated to be approximately 25%.
Responsibilities
  • Help define and manage technical customer issues, by reproducing and owning the issue lifecycle from start to finish.
  • Project manage new client deployment issues through to resolution.
  • Determines root cause by reading through code; troubleshoot customer reported issues; implement security and permissions configuration changes.
  • Drive operational efficiencies for issue resolution by identifying process, tooling, and product improvements. Create playbooks and knowledge base content for issue resolution.
  • Create reports and dashboards for internal issue tracking purposes.

Qualifications
Minimum Qualifications:
  • 3+ years experience working with Python, R, or a similar object oriented programming language with Bachelor's Degree in Statistics, Computer Science, Mathematics or Information Systems or related area.
  • Familiarity with SQL and ability to identify root cause of data issues. Proficiency with Jira and Github. Cloud operations experience such as create buckets, VMs, or security access controls
  • Excellent troubleshooting skills, with an ability to track complex details and clearly translate investigations into next steps for the customer or engineering.
  • Exceptional ability to communicate technical details to both senior developers and non-technical customers.

Preferred Qualifications
  • 4+ years of experience in software or healthcare technology.
  • Experience troubleshooting data issues.
  • Experience supporting highly regulated software.
  • 'Self starter' mentality, with a passion for owning and driving issues to resolution.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $117,500 - $176,500 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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