Senior R Programmer/ Shiny Developer

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

• We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires.

• Your ideas influence the way we work, and your voice matters here.

• As an essential part of our team, you help us deliver the medical innovation that patients are desperate for.

Join us and build your future here.

The Senior R Programmer / R Shiny Developer is responsible for developing, validating, and supporting innovative statistical applications and technical solutions that enhance clinical development and statistical programming activities. This role combines expertise in R, R Shiny, SAS, and Python to develop interactive applications, reusable software, automation tools, and data visualization solutions that improve efficiency, quality, and decision-making across the Biostatistics organization.

Working closely with Biostatisticians, Statistical Programmers, Data Management, Clinical Operations, and Information Technology, this individual will help modernize statistical workflows by developing validated software solutions that support clinical trial design, analysis, regulatory submissions, and operational excellence.

• Designs, develops, tests, and maintains interactive R Shiny applications that support clinical trial activities, ensuring they are scalable and performant for large-scale clinical data analysis.
• Creates user-friendly applications for statistical review, data exploration, quality control, and reporting.

• Develops reusable Shiny modules and application frameworks to promote consistency and efficiency.
• Optimizes application performance, scalability, and usability.
• Develops reusable programming utilities using R, SAS, and Python.

• Builds applications that support:

• • SDTM and ADaM review
  • Dataset comparison
  • Metadata review
  • TLF review and quality control
  • Clinical data visualization
  • Statistical reporting
• Develop applications in accordance with GxP, Computer Software Assurance (CSA), and company standards.
• Develops and executes application testing, including unit, integration, and regression testing.
• Provides technical consultation on R programming, R Shiny development, and open-source technologies.

• Develop programs to support project deliverables (i.e. ADaM, TLFs, etc)

• Supports study teams with programming activities on projects.