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

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 ...

... Shiny, or Streamlit). * Analysis and scientific collaboration * Perform proteomics analyses ... Experience with programming and data analysis in languages such as R and/or Python, and familiarity ...

R Shiny Developer information

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$15

$53

$96

How much do r shiny developer jobs pay per hour?

As of Aug 21, 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 is an R Shiny developer?

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 as an R Shiny developer?

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 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.

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Infographic showing various R Shiny Developer job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 57% In-person, 6% Hybrid, and 37% Remote job distribution, with an average salary of $111,473 per year, or $53.6 per hour.

Principal Biostatistician FSP

Cytel

Cambridge, MA • On-site, Remote

Full-time

Re-posted 7 days ago


Job description


Who Are You?
An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same.
Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview:
Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.
Responsibilities
As a Principal Biostatistician, your responsibilities will include:
  • Lead statistical activities for assigned Clinical Trials (Phases 1 to 2) independently from protocol design to reporting of results.
  • Represent Statistics function on cross-functional trial (and possibly indication / project) teams and collaborate effectively with all cross-functional stakeholders.
  • Oversight of internal programming activities and/or CRO contributions on assigned clinical trials and other activities.
  • Contribute to or lead other activities from a statistical perspective as appropriate, including but not limited to Safety Reporting, ISS/ISE, addressing questions from Health Authorities, Publications.
  • Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc.
  • Contribute to and participate in other initiatives at Cytel or sponsor side as appropriate.
  • Oversight of more junior Statisticians as required.

Qualifications
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
  • Minimum of Bachelor's degree in statistics or a related discipline.
  • 9+ years supporting clinical trials in the Pharmaceutical or Biotechnology industry.
  • Ability to work independently, demonstrate initiative and flexibility through effective and innovative leadership.
  • Attention to detail and quality focused, excellent interpersonal and communication skills, innovative, and collaborative behaviours
  • SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers.
  • Knowledge of R programming (R Shiny/Python)