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Senior R Shiny Developer Jobs (NOW HIRING)

Senior Data Scientist

$120K - $140K/yr

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement ... R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general ...

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Collaborate with senior data scientists, program analysts, project managers, and government ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Collaborate with senior data scientists, program analysts, project managers, and government ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Collaborate with senior data scientists, program analysts, project managers, and government ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Developer - Data Engineer

Mclean, VA

$117.50K - $141.10K/yr

... R/Shiny for end user consumption • Manage and implement data processes (Data Quality reports) • Be able to handle source code management (GIT, Bitbucket) • Develop data profiling, deduping ...

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

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Senior R Shiny Developer information

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

As of Jun 3, 2026, the average hourly pay for senior r shiny developer in the United States is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $75.00 per hour, depending on experience, location, and employer.

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

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

More about Senior R Shiny Developer jobs
What cities are hiring for Senior R Shiny Developer jobs? Cities with the most Senior 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 Senior R Shiny Developer jobs? States with the most job openings for Senior R Shiny Developer jobs include:
Infographic showing various Senior R Shiny Developer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $114,152 per year, or $54.9 per hour.

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA • Hybrid

Other

Posted 22 days ago


Job description

What You'll Do: Reporting to the Senior Director, Statistical Programming, the Associate Director will provide statistical and clinical data programming expertise to manage statistical programming activities that support drug development programs and regulatory submissions. This role involves overseeing the creation, validation, and delivery of programming deliverables, ensuring compliance with industry standards, and fostering cross-functional collaboration with biostatistics, data management, clinical, and regulatory teams.

Responsibilities: 

  • Oversee the development and validation of SAS programs to generate datasets (SDTM, ADaM), tables, listings, and figures (TLFs) in compliance with CDISC standards.
  • Ensure the timely and high-quality delivery of programming outputs for regulatory submissions, clinical study reports, and exploratory analyses.
  • Ensure all programming activities align with industry standards (CDISC, ICH, FDA, EMA) and internal SOPs.
  • Programming lead for clinical programs as needed. Hand-on programming work in SAS and other programming languages/tools.
  • Establishes and maintains CRO/vendor partnerships.
  • Act as a liaison between statistical programming and other functions, ensuring clear communication and alignment of goals.
  • Partner with biostatistics, data management, and clinical operations to resolve programming issues and optimize processes.
  • Identify and implement new tools, techniques, and processes to improve efficiency and quality in statistical programming.

Qualifications:

  • Master's degree in statistics, computer science or a related field
  • At least 8 years of statistical programming experience in the pharmaceutical/biotech industry
  • Proven ability to manage CRO relationships and oversee programmed deliverables.
  • Extensive experience in leading statistical programming function for both early and late phase clinical trials, and regulatory submissions (NDA/BLA, MAA)
  • Excellent skills in SAS programming and statistical reporting, knowledge of R and R Shiny desirable
  • In-depth knowledge of CDISC standards for SDTM and ADaM and FDA electronic data submission requirements
  • Familiarity with FDA and ICH regulations and guidelines
  • Excellent written and verbal communication skills, ability to collaborate with a multidisciplinary team and interact effectively in a fast-paced team environment

Location: This is a hybrid role with three days per week in-office in Burlington, Massachusetts.