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R Shiny Remote Jobs (NOW HIRING)

The Pennsylvania State University

$15.75 - $21/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Additional tasks involve writing project metadata, developing R code and R Shiny applications, and ...

Natera

Sr. Scientist

OR · On-site +1

San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Natera ... Utilize tools like R, R Shiny, or Python libraries (e.g., Matplotlib, Seaborn) to build intuitive ...

Lorven Technologies

IN-IDOH Data Scientist - Remote

Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend ... R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software ...

Actionable Outcomes

General Application

Melbourne, FL · Remote

$75K - $130K/yr

General Application Remote, USA $75,000 - $130,000 annually + Benefits Must be a US citizen, No ... Familiarity with Python, R and other statistical toolsis a plus Project Management skills we look ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Proficiency working with programming languages Python, and R, modern development frameworks and ... Shiny, Dash, Streamlit, React, Veu.js). * Understanding of cloud-native tools and modern data ...

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How much do r shiny remote jobs pay per year?

As of Jul 18, 2026, the average yearly pay for r shiny remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are R Shiny remote jobs?

R Shiny remote jobs involve developing, deploying, and maintaining interactive web applications built with the R Shiny framework, while working from a remote location. These roles typically require strong skills in R programming, data visualization, and web development. Remote R Shiny developers collaborate with teams virtually, contributing to data-driven projects across industries such as healthcare, finance, and research. Common responsibilities include building dashboards, integrating APIs, and optimizing user interfaces for clients or internal stakeholders.

What is the difference between R Shiny Remote vs Data Analyst?

AspectR Shiny RemoteData Analyst
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in R and ShinyBachelor's or higher in Data Science, Statistics, or related field; strong analytical skills
Work environmentRemote, often project-based or contract rolesTypically office-based or hybrid; some remote options
Industry usageTech, finance, healthcare, and research sectorsBusiness, finance, healthcare, marketing
Common search intentRemote R Shiny developer jobsData analyst roles with remote options

R Shiny Remote professionals focus on developing interactive web applications using R in a remote setting, often requiring coding and deployment skills. Data Analysts analyze data to generate insights, sometimes using R but with broader responsibilities. While both roles may overlap in data handling, R Shiny Remote roles emphasize application development, whereas Data Analysts focus on data interpretation.

What are the key skills and qualifications needed to thrive as an R Shiny Developer in a remote role, and why are they important?

To thrive as an R Shiny Developer remotely, you need strong expertise in R programming, experience with Shiny application development, and a background in data analysis or statistics. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and deployment tools is typically required, along with relevant certifications in R or data science being advantageous. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating across distributed teams and managing projects independently. These skills ensure you can build robust, interactive data applications while effectively contributing to remote teams and meeting project goals.

What are some common challenges faced by R Shiny developers working remotely, and how can they be addressed?

R Shiny developers working remotely often encounter challenges such as coordinating with distributed teams, ensuring efficient communication, and managing version control for collaborative projects. To overcome these, it's essential to use project management tools like Jira or Trello, maintain regular virtual meetings, and leverage platforms like GitHub for code collaboration. Additionally, clear documentation and proactive communication help ensure that all team members are aligned, even when working across different time zones.
More about R Shiny Remote jobs
What cities are hiring for R Shiny Remote jobs? Cities with the most R Shiny Remote job openings:
What are the most commonly searched types of R Shiny jobs? The most popular types of R Shiny jobs are:
What states have the most R Shiny Remote jobs? States with the most job openings for R Shiny Remote jobs include:
What job categories do people searching R Shiny Remote jobs look for? The top searched job categories for R Shiny Remote jobs are:
R Shiny Remote jobs near you
Infographic showing various R Shiny Remote job openings in the United States as of July 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 $122,738 per year, or $59 per hour.
R Programmer

R Programmer

CEDENT

Washington, DC • Remote

Contractor

Re-posted 8 hours 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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