Senior R Programmer, Shiny Developer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop, validate, and provide support for innovative statistical applications and technical solutions aimed at clinical development and statistical programming.

• Design, create, test, and maintain interactive R Shiny applications for clinical trial processes.

• Build user-friendly applications for statistical analysis, data exploration, quality control, and reporting purposes.

• Develop reusable Shiny modules and application frameworks.

• Enhance application performance, scalability, and user experience.

• Create reusable programming utilities utilizing R, SAS, and Python.

• Construct applications that assist in SDTM and ADaM review, dataset comparison, metadata review, TLF review, quality control, clinical data visualization, and statistical reporting.

• Develop applications in compliance with GxP, CSA, and company standards.

• Conduct unit, integration, and regression testing.

• Offer technical consultation regarding R programming, R Shiny development, and open-source technologies.

• Create programs that support project deliverables such as ADaM and TLFs.

• Assist study teams with programming tasks.

• Collaborate with Biostatisticians, Statistical Programmers, Data Management, Clinical Operations, and Information Technology teams.

⛳️ Requirements

• Proficiency in R, R Shiny, SAS, and Python.

• Experience in developing, validating, and supporting statistical applications and technical solutions.

• Proven experience in creating scalable and high-performance interactive R Shiny applications.

• Background in developing applications for statistical review, data exploration, quality control, reporting, and data visualization.

• Experience in creating reusable Shiny modules, application frameworks, and programming utilities.

• Understanding of SDTM and ADaM review processes.

• Familiarity with dataset comparison and metadata review.

• Experience in TLF review and quality control practices.

• Knowledge of application development standards aligned with GxP, Computer Software Assurance (CSA), and company guidelines.

• Experience in unit, integration, and regression testing.

• Knowledge of open-source technologies.

• Experience supporting clinical trial project deliverables, including ADaM and TLFs.

• Proven ability to assist study teams with programming activities.

🏝️ Benefits

• Flexibility and a balanced work-life approach.

• Opportunities for skills enhancement and professional growth.