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R Shiny Remote Jobs (NOW HIRING)

Jobgether

Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving. * Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist. How ...

New

CEDENT

R Programmer

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... remote groups.

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 ...

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R Shiny Remote information

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$37.5K

$122.7K

$196.5K

How much do r shiny remote jobs pay per year?

As of Aug 7, 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 is an R Shiny remote job?

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 skills and qualifications are needed to thrive as an R Shiny developer in a remote role?

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 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 August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

R Developer with Bio Background

Jobgether

On-site, Remote

Full-time

Posted 2 days ago

New

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Bio Background based in Netherlands.

Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to impactful solutions across drug discovery and clinical research. In this role, you will design and develop data-driven applications that help scientists and researchers make better decisions using complex biological and clinical data. You will combine software engineering skills with domain knowledge in bioinformatics, clinical workflows, and regulated environments. Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers strong ownership, technical challenges, and the chance to grow within a collaborative, innovation-focused environment.

Accountabilities
  • Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects.
  • Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets.
  • Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards.
  • Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions.
  • Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions.
  • Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency.
  • Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis.
Requirements
  • Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development.
  • Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains.
  • Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices.
  • Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes.
  • Knowledge of validation principles and working practices within GxP-regulated environments.
  • Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows.
  • Familiarity with Git or other version control systems and modern software development practices.
  • Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams.
  • Master's degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience.
  • Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage.
  • Ability to work effectively in a remote international environment and communicate clearly in English.
Benefits
  • Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.
  • Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making.
  • High level of technical ownership with opportunities to design and evolve impactful data applications.
  • Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals.
  • Competitive B2B compensation aligned with experience and career level.
  • Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives.
  • Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving.
  • Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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