ZipRecruiter

Log In

1

R Shiny Contract Jobs in Ridgefield, CT (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Ridgefield, CT Contract Duration: 12-24 months Rate: Negot Responsibilities: * Excellent employment ... Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing ...

All JobsR Shiny Contract JobsR Shiny Contract Jobs in Ridgefield, CT

R Shiny Contract information

See Ridgefield, CT salary details

$34.9K

$84.7K

$133K

How much do r shiny contract jobs pay per year?

As of Aug 28, 2026, the average yearly pay for r shiny contract in Ridgefield, CT is $84,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $99,600.00 per year, depending on experience, location, and employer.

What is an R Shiny contractor?

An R Shiny contractor is a professional who specializes in developing interactive web applications using R Shiny, a framework for building web apps directly from R. These contractors are typically hired on a project basis to design, build, and deploy dashboards, data visualization tools, or custom analytical solutions for organizations. Their work often includes collaborating with data scientists, interpreting data requirements, and ensuring the usability and performance of Shiny applications. R Shiny contractors may also provide maintenance, troubleshooting, and optimization services for existing apps.

What are the key skills and qualifications needed to thrive as an R Shiny contractor?

To thrive as an R Shiny Contractor, you need strong proficiency in R programming, experience with Shiny app development, and a solid understanding of data analysis and visualization. Familiarity with version control systems like Git, deployment tools such as Shiny Server or RStudio Connect, and relevant certifications in data science or analytics are typically required. Excellent problem-solving, communication, and project management skills help you collaborate effectively with clients and stakeholders. These abilities are crucial for delivering high-quality, interactive data applications that meet client needs and function reliably in production environments.

What are some common challenges faced by R Shiny contractors when working with client data and how can they be addressed?

R Shiny contractors often encounter challenges related to integrating and cleaning diverse client datasets, ensuring data security, and adapting Shiny applications to specific business needs. To address these, it’s important to establish clear data requirements upfront, use robust data validation techniques, and communicate regularly with clients about their data sources and security protocols. Additionally, documenting code and creating modular, scalable app components can help ensure the application remains maintainable and adaptable as client needs evolve.

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

AspectR Shiny ContractData Analyst
Required credentialsProficiency in R, Shiny, data visualizationDegree in statistics, data science, or related field
Work environmentProject-based, often remote, client-focusedOffice or remote, corporate or consulting settings
Employer/industry usageTech, healthcare, finance, consultingFinance, marketing, healthcare, retail
Search/Comparison intentFocus on contract roles involving R Shiny developmentFocus on data analysis roles using various tools

R Shiny Contract roles typically involve short-term projects requiring expertise in R and Shiny for building interactive dashboards. Data Analyst positions are broader, often requiring skills in data manipulation, visualization, and reporting across industries. While both roles involve data work, R Shiny Contract roles are specialized in R Shiny development, whereas Data Analysts may use multiple tools and techniques for data insights.

What are popular job titles related to R Shiny Contract jobs in Ridgefield, CT?

For R Shiny Contract jobs in Ridgefield, CT, the most frequently searched job titles are:

What job categories do people searching R Shiny Contract jobs in Ridgefield, CT look for?

The top searched job categories for R Shiny Contract jobs in Ridgefield, CT are:

R Shiny Contract jobs near you
Infographic showing various R Shiny Contract job openings in Ridgefield, CT as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $84,703 per year, or $40.7 per hour.

Scientist III

Ridgefield, CT • On-site

Fladger Associates
See more jobs at Fladger Associatesexternal

Contractor

Re-posted 18 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