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Remote R Programming Jobs (NOW HIRING)

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Hands-on programming skills in Python, Java, or similar languages, with Hands-on with in developing ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Amgen, Inc.

Biostatistical Programming Senior Manager

OR · On-site +1

Familiar with R Programming language * Statistical programming experience in a clinical development ... Flexible work models, including remote work arrangements, where possible Apply now for a career ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

... R programming. Our ideal candidate prefers to focus on water resources related projects and has a ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

Parexel

Senior RWE Programmer

Parexel is seeking a Senior Real-World Evidence, RWE Programmer Join a high-impact team as a remote ... Fluency in SQL and R programming is required * Experience writing original code and performing raw ...

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How much do remote r programming jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote r programming in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a remote R programming?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What does a remote R programmer do?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What are the key skills and qualifications needed to thrive in the remote R programming position?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

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Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

R Programmer

CEDENT

Washington, DC • Remote

Contractor

Re-posted 16 days ago

Job description


Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for  research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
  • Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS.
  • Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
  • Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
  • Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
  • Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
  • Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
  • Participate in an on-call rotation for critical outages and issues
  • Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
  • Effective communication and technical skills
  • Develop & maintain technical documentation including system diagrams & operational procedures

Required qualifications:
  • 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
  • 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
  • 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
  • 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
  • Experienced in Data Exploration packages with Base R
  • Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
  • Ability to effectively communicate technical solutions to engineering teams and business audiences

Key Competencies:
  • Knowledgeable in the AWS Well Architected Framework
  • Strong analytical, organizational, problem-solving, and time-management skills
  • Strong communication (verbal and written) and listening skills.
  • Strong teamwork, planning, and coordination skills
  • Self-motivation, adaptability, and the ability to meet aggressive deadlines.
  • Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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