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Contract R Shiny Developer Jobs (NOW HIRING)

Ridgefield, CT Contract Duration: 12-24 months Rate: Negot Responsibilities: * Excellent employment ... Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX ...

Overview Please note that this position is contingent upon the successful award of a contract ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/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 ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/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 ...

Responsibilities and Qualifications Contract Data Analyst: We seek candidates with a strong ... R programming skills, and expertise in data visualization platforms like R Shiny, Tableau, or ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

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

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... R Shiny, Plotly, custom dashboards) • Experience in pharmaceutical, biotech, or regulated ...

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Contract R Shiny Developer information

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

As of Aug 6, 2026, the average hourly pay for contract r shiny developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.

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

AspectContract R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app development, data visualizationData manipulation, statistical analysis, reporting, Excel, SQL
Work EnvironmentProject-based, freelance or contract roles, tech-focused teamsFull-time or part-time, business or corporate settings
Industry UsageTech, healthcare, finance, research projects requiring interactive dashboardsBusiness intelligence, marketing, finance, operations analysis

Contract R Shiny Developers focus on building interactive web applications using R and Shiny, often on a project basis. Data Analysts analyze data sets, generate reports, and support decision-making. While both roles require data skills, the Developer role emphasizes app development and coding, whereas the Analyst role centers on data interpretation and reporting.

More about Contract R Shiny Developer jobs
What cities are hiring for Contract R Shiny Developer jobs? Cities with the most Contract 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 Contract R Shiny Developer jobs? States with the most job openings for Contract R Shiny Developer jobs include:
Infographic showing various Contract R Shiny Developer job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

Scientist III

Fladger Associates

Ridgefield, CT • On-site

Contractor

Re-posted 26 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