Senior R Shiny Developer - Clinical Data & Dashboards

premierresearch; Argentina; Presencial; ARS 2.000.000 - 3.000.000; Jornada completa

Descripción de la vacante

Premier Research is seeking a Senior R Programmer/ Shiny Developer to join our Biostatistics team. You will develop scalable interactive R Shiny applications to support clinical trial activities and regulatory-compliant data analysis, with emphasis on data exploration, quality control, and reporting.

You will build reusable modules, optimize performance, and provide technical consulting on R programming and open-source technologies, aligning with GxP standards.

Formación

• Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or related field (Master's preferred).
• 5+ years of programming experience in pharma/biotech/CRO.
• 3+ years hands-on experience with R, R packages, RStudio and RShiny, esp. clinical data analysis.
• Experience integrating RShiny with cloud data sources like AWS S3 or Azure Data Lake.

Responsabilidades

• Designs, develops, tests, and maintains interactive R Shiny applications for clinical trial activities.
• Creates user-friendly applications for statistical review, data exploration, quality control, and reporting.
• Develops reusable Shiny modules and application frameworks for consistency and efficiency.
• Optimizes application performance, scalability, and usability.
• Develops reusable utilities using R, SAS, and Python.
• Builds apps supporting SDTM/ADaM review, dataset comparison, metadata review, and QC.

Conocimientos

R

R Shiny

Data visualization

Quality control

Communication

Educación

Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, or related quantitative field

Master's degree preferred

Herramientas

RStudio

Shiny

AWS S3

Azure Data Lake

SAS

Python

Descripción del empleo

Premier Research is seeking a Senior R Programmer/ Shiny Developer to join our Biostatistics team. You will develop scalable interactive R Shiny applications to support clinical trial activities and regulatory-compliant data analysis, with emphasis on data exploration, quality control, and reporting.

You will build reusable modules, optimize performance, and provide technical consulting on R programming and open-source technologies, aligning with GxP standards.