Senior R Shiny Architect for Biostatistics Impact

Senior R Shiny Architect for Biostatistics Impact

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain interactive R Shiny applications for clinical trials and data analysis.
  • Company: Join a premier research organisation in the UK with a focus on biostatistics.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and excellence.
  • Why this job: Make a real impact in healthcare by optimising data analysis for clinical trials.
  • Qualifications: Experience in R programming, Shiny development, and familiarity with AWS or Azure.

The predicted salary is between 63000 - 77000 £ per year.

Premier Research in the United Kingdom seeks a Senior R Programmer/ Shiny Developer to join our Biostatistics team.

You will design and maintain interactive R Shiny applications that support clinical trial activities and large-scale data analysis.

You will collaborate with statisticians and data scientists, optimize performance, and develop reusable modules.

Experience with AWS S3 or Azure Data Lake and regulatory standards is valued; Master’s degree preferred.

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Senior R Shiny Architect for Biostatistics Impact employer: Premier Research

At Premier Research, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant area, we offer unique advantages such as flexible working arrangements and the chance to be at the forefront of medical innovation, making a meaningful impact on patients' lives.

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Contact Details:

Premier Research Recruitment Team

We think you need these skills to ace Senior R Shiny Architect for Biostatistics Impact

R Programming
R Shiny Development
Interactive Application Design
Data Analysis
Collaboration with Statisticians
Performance Optimisation
Reusable Module Development