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R Shiny Developer Jobs in Boston, MA (NOW HIRING)

Treeline Biosciences

Director, Biostatistics

Watertown, MA · On-site

$226K - $257K/yr

Advanced, hands-on programming expertise in R and SAS (specifically for trial simulations, complex oncology datasets, and visualization packages like Shiny). * Expert knowledge of early oncology ...

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R Shiny Developer information

See Boston, MA salary details

$15

$53

$96

How much do r shiny developer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for r shiny developer in Boston, MA is $53.59, according to ZipRecruiter salary data. Most workers in this role earn between $28.75 and $73.12 per hour, depending on experience, location, and employer.

What are the most common challenges faced by R Shiny Developers, and how are they addressed in the workplace?

R Shiny Developers often encounter challenges such as optimizing app performance with large datasets, ensuring cross-browser compatibility, and balancing feature-rich functionality with ease of use. Teams typically support developers through code reviews, collaborative problem-solving sessions, and access to best practice documentation or established Shiny frameworks. Employers may also encourage ongoing learning through training or attendance at data science meetups, ensuring developers stay up to date with the latest tools and techniques. Addressing these challenges effectively helps deliver robust, high-impact applications that empower data-driven decisions.

What is an R Shiny Developer job?

An R Shiny Developer is responsible for building interactive web applications using R and the Shiny framework. They design, develop, and optimize dashboards or tools to visualize and analyze data dynamically. This role often requires expertise in R programming, data manipulation, UI/UX design, and deploying Shiny apps. R Shiny Developers commonly work with data scientists and analysts to translate data insights into user-friendly applications.

What are the key skills and qualifications needed to thrive in the R Shiny Developer position, and why are they important?

To thrive as an R Shiny Developer, you need strong programming skills in R and Shiny, a solid understanding of data analysis, and a relevant degree in computer science, statistics, or a similar field. Familiarity with version control systems like Git, experience deploying Shiny apps on cloud platforms, and knowledge of UI/UX best practices are highly valued. Excellent problem-solving abilities, clear communication, and a collaborative mindset set top candidates apart. These skills are essential for building effective, user-friendly data applications that meet business and user requirements in a team environment.

What are popular job titles related to R Shiny Developer jobs in Boston, MA? For R Shiny Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching R Shiny Developer jobs in Boston, MA look for? The top searched job categories for R Shiny Developer jobs in Boston, MA are:
R Shiny Developer jobs near you
Infographic showing various R Shiny Developer job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $111,473 per year, or $53.6 per hour.

Associate Director, Statistical Programming

MapLight Therapeutics

Burlington, MA • Hybrid

Other

Re-posted 18 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.

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