Développeur MuleSoft concevant des API et intégrations pour iA Financial Group, assureur et gestionnaire de patrimoine. Soutien de plateformes Anypoint, CI/CD et solutions sécurisées.
About the role
- Senior R Programmer developing R Shiny applications and statistical tools for Premier Research’s clinical-trial and biopharma services. Supporting validated workflows, data visualization, and regulatory submissions.
Responsibilities
- 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
- 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
- Flexibility and work-life balance
- Skills and professional growth opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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