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Freelance R Shiny Developer Jobs (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and ...

WillHire

Scientist III

Ridgefield, CT · On-site

$110 - $170/hr

... programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages ...

New

Union Technologies

Senior Process Engineer

Dallas, TX · On-site

$75 - $95/hr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Union Technologies

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Union Technologies

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

University of Utah

Research Associate

Campus, IL · On-site

$65K - $88K/yr

Build and maintain economic and public finance forecasting models using AI tools and various programming languages. * Create and maintain data visualizations and dashboards using Excel, R Shiny ...

University of Utah

Research Associate

Campus, IL · On-site

$65K - $88K/yr

Build and maintain economic and public finance forecasting models using AI tools and various programming languages. * Create and maintain data visualizations and dashboards using Excel, R Shiny ...

University of Utah

Research Associate

Salt Lake City, UT · On-site

$65K - $88K/yr

Build and maintain economic and public finance forecasting models using AI tools and various programming languages. * Create and maintain data visualizations and dashboards using Excel, R Shiny ...

University of Utah

Research Associate

Salt Lake City, UT · On-site

$65K - $88K/yr

Build and maintain economic and public finance forecasting models using AI tools and various programming languages. * Create and maintain data visualizations and dashboards using Excel, R Shiny ...

University of Utah

Research Associate

Campus, IL · On-site

$65K - $88K/yr

Build and maintain economic and public finance forecasting models using AI tools and various programming languages. * Create and maintain data visualizations and dashboards using Excel, R Shiny ...

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

... R-Shiny • Programming experience using Python • Data Science experience using advanced Client techniques • Advanced knowledge of SQL • Project management experience • Experience in home ...

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Freelance R Shiny Developer information

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How much do freelance r shiny developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance r shiny developer in the United States is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $18.75 per hour, depending on experience, location, and employer.

What is a freelance R Shiny developer?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a freelance R Shiny developer?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.

What is the difference between Freelance R Shiny Developer vs Data Analyst?

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What cities are hiring for Freelance R Shiny Developer jobs?

Cities with the most Freelance R Shiny Developer job openings:

What are the most commonly searched types of R Shiny Developer jobs?

The most popular types of R Shiny Developer jobs are:

What states have the most Freelance R Shiny Developer jobs?

States with the most job openings for Freelance R Shiny Developer jobs include:

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The top searched job categories for Freelance R Shiny Developer jobs are:

Freelance R Shiny Developer jobs near you
Infographic showing various Freelance R Shiny Developer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $47,772 per year, or $23 per hour.

Scientist III

Fladger Associates

Ridgefield, CT • On-site

Contractor

Re-posted 10 days ago

Job description

Ridgefield, CT
Contract Duration: 12-24 months
Rate: Negot

Responsibilities:

  • Excellent employment opportunity for a Scientist III in the Ridgefield, CT area.
  • Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery
  • Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq)
  • Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3
  • Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
  • Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
  • Select and benchmark methods and tools, define and perform appropriate QC measures
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Interpret and present analysis results to coworkers and collaborators
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
  • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports
  • Automate processing and results reporting and delivery
  • Reports and treats data with a high level of integrity and ethics
  • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies

Experience:

  • Master's Degree from an accredited institution with one-plus (1+) years of experience in a related Scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
  • Strong Scientific understanding and experience in Bioinformatics
  • Experience in Pharmaceutical research a plus
  • The successful candidate will have experience with more than one of the following: analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration
  • Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for NGS analysis and the usage of public data resources required
  • Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages
  • Demonstrated ability to produce well-designed and documented code
  • Familiarity with computational biology tools and experience working with computational biologists to solve problems
  • Ability to troubleshoot both individually and as part of a team
  • Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner
  • Skills: BIOINFORMATICS, BIOSTATISTICS, DATABASES, GENOMICS, LINUX
  • Additional Skills: PYTHON, SCRIPTING, SHELL SCRIPTING, SHINY, UNIX, UNIX/LINUX, VISUALIZATION, WRITING PROTOCOLS, DATA ANALYSIS, DATA INTEGRATION, DATA MINING, DATA VISUALIZATION, DATASETS, DRUG DISCOVERY, INTEGRATION, INTEGRATOR, MARKETING ANALYSIS, PHARMACEUTICAL RESEARCH, RNA, SEQUENCING, SOPS, STATISTICS, THERAPEUTIC