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- Tasks: Join a team to enhance R packages for data science in a pharmaceutical setting.
- Company: Work with a leading global pharmaceutical company focused on analytics and reinsurance.
- Benefits: Enjoy a fully remote role with competitive pay and a collaborative environment.
- Why this job: Make a real impact on analytics infrastructure while working with top professionals in the field.
- Qualifications: Expertise in R and biostatistics is essential; experience in pharma is a plus.
- Other info: This is a hands-on, non-client-facing role that values precision and performance.
The predicted salary is between 60000 - 84000 £ per year.
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.
Key Skills and Requirements
- 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.
Desirable Skills
- 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.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior R Developer
✨Tip Number 1
Make sure to highlight your experience with R package development in your conversations. Be ready to discuss specific projects where you've improved or created R packages, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with the latest best practices in biostatistics and R programming. Being able to reference current methodologies during discussions can set you apart as a knowledgeable candidate who stays updated in the field.
✨Tip Number 3
Prepare to discuss your collaboration experiences in remote settings. Since this role values teamwork, sharing examples of how you've successfully worked with others online will showcase your ability to thrive in a virtual environment.
✨Tip Number 4
Be ready to talk about your approach to writing documentation and unit tests. Providing insights into your process for ensuring code quality and reproducibility will resonate well with the hiring team, as these are key aspects of the role.
We think you need these skills to ace Senior R Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert-level experience in R, particularly in package development and testing. Emphasise your background in biostatistics and any relevant work within the pharmaceutical sector.
Craft a Strong Cover Letter: In your cover letter, explain why you are a great fit for this role. Mention your experience with R packages, your ability to write clean and well-documented code, and your collaboration skills in remote settings.
Showcase Relevant Projects: If possible, include examples of previous projects where you evaluated or improved R packages. Highlight any specific contributions you made to documentation, unit tests, or collaboration with internal teams.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in this role. A polished application reflects your commitment to quality.
How to prepare for a job interview at Harnham
✨Showcase Your R Expertise
Be prepared to discuss your experience with R, particularly in package development and testing. Bring examples of your previous work that demonstrate your ability to write clean, modular, and well-documented code.
✨Highlight Biostatistics Knowledge
Since the role requires a strong background in biostatistics, be ready to explain how your expertise aligns with the pharmaceutical sector. Discuss any relevant projects or experiences that showcase your understanding of biostatistical principles.
✨Demonstrate Collaboration Skills
As this position involves working closely with internal teams, emphasise your collaboration and communication skills. Share examples of how you've successfully worked in remote settings and gathered feedback from stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to R package evaluation, documentation, and unit testing. Brush up on best practices in R package development and be ready to discuss how you ensure reproducibility and high-quality analytics in your work.
