Senior R Programmer, Shiny Developer

Premier Research

. Develop, validate, and support innovative statistical applications and technical solutions for clinical development and statistical programming .

Posted 9/23/2026full-timeRemote • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting statistical applications using R, R Shiny, SAS, and Python, with a strong focus on clinical trial activities and adherence to GxP and CSA standards. Capable of optimizing application performance and collaborating effectively with cross-functional teams.

Highest-signal resume keywords

R ProgrammingR Shiny DevelopmentSAS ProgrammingPython ProgrammingStatistical Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical Application DevelopmentInteractive R Shiny ApplicationsReusable Shiny ModulesApplication FrameworksData VisualizationUnit TestingIntegration TestingRegression TestingQuality ControlDataset Comparison

Tools & Technologies

Open-Source TechnologiesClinical Data Visualization

Industry Keywords

GxPComputer Software AssuranceADaMSDTMTLF Review

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, validate, and support innovative statistical applications and technical solutions for clinical development and statistical programming
Design, develop, test, and maintain interactive R Shiny applications for clinical trial activities
Create user-friendly applications for statistical review, data exploration, quality control, and reporting
Develop reusable Shiny modules and application frameworks
Optimize application performance, scalability, and usability
Develop reusable programming utilities using R, SAS, and Python
Build applications supporting SDTM and ADaM review, dataset comparison, metadata review, TLF review and quality control, clinical data visualization, and statistical reporting
Develop applications according to GxP, CSA, and company standards
Execute unit, integration, and regression testing
Provide technical consultation on R programming, R Shiny development, and open-source technologies
Develop programs supporting project deliverables such as ADaM and TLFs
Support study teams with programming activities
Collaborate with Biostatisticians, Statistical Programmers, Data Management, Clinical Operations, and Information Technology

Requirements

What you’ll need

Expertise in R, R Shiny, SAS, and Python
Experience developing, validating, and supporting statistical applications and technical solutions
Experience developing scalable and performant interactive R Shiny applications
Experience creating applications for statistical review, data exploration, quality control, reporting, and data visualization
Experience developing reusable Shiny modules, application frameworks, and programming utilities
Knowledge of SDTM and ADaM review
Experience with dataset comparison and metadata review
Experience with TLF review and quality control
Experience developing applications in accordance with GxP, Computer Software Assurance (CSA), and company standards
Experience with unit, integration, and regression testing
Knowledge of open-source technologies
Experience supporting clinical trial project deliverables, including ADaM and TLFs
Experience supporting study teams with programming activities

Benefits

Comp & perks

Flexibility and work-life balance
Skills and professional growth opportunities