Senior R Developer

SENIOR R DEVELOPER - BIOSTATS

6-MONTH CONTRACT

£300-400 PER DAY OUTSIDE IR35 | FULLY REMOTE

This is an excellent opportunity for an experienced R Developer with a biostatistics background to contribute to a global pharmaceutical leader's internal analytics capabilities. You'll be central to the evaluation, testing, and documentation of R packages used across key data science functions. This is a hands-on, delivery-focused role in a technical, collaborative environment that values precision, performance, and reproducibility.

A world-leading pharmaceutical organisation (name confidential) with a global presence and a secondary focus on reinsurance. The team is undertaking a strategic project to standardise and improve internal R packages, ensuring consistency, usability, and alignment with best practices. You'll join a highly-skilled internal data science team in a non-client-facing role, contributing directly to a critical analytics infrastructure initiative.

You'll take ownership of reviewing and improving internally developed R packages. This includes thorough documentation, writing unit tests, and ensuring the packages meet the needs of various internal stakeholders. Collaboration is key, but the role allows for deep technical focus without external-facing responsibilities.

Your responsibilities will include:

• Evaluating internal R packages for quality, structure, and documentation.

• Writing clear, user-focused documentation and metadata.

• Developing unit tests following best practices in R package development.

• Collaborating with internal teams to gather requirements and feedback.

• Delivering production-ready code and documentation that supports reproducible, high-quality analytics.

• Expert-level experience in R, particularly in package development and testing.

• Strong background in biostatistics, ideally within the pharmaceutical sector.

• Proven ability to write clean, modular, and well-documented code.

• Strong collaboration and communication skills, especially in remote settings.

• Comfortable working independently in a technically mature environment.

• Experience working in global pharma or healthcare analytics environments.

• Familiarity with reproducible research tools and documentation standards.

• Exposure to regulated environments and statistical reporting workflows.