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- Tasks: Join a team to enhance R packages for data science in a hands-on, collaborative role.
- Company: Work with a leading global pharmaceutical company focused on analytics and biostatistics.
- Benefits: Enjoy a fully remote position with competitive pay and flexible working arrangements.
- Why this job: Make a real impact on analytics infrastructure while working with top-notch professionals.
- Qualifications: Expertise in R and biostatistics is essential; experience in pharma is a plus.
- Other info: This is a 6-month contract role, perfect for those seeking impactful project work.
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.
Senior R Developer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment 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. Discuss specific projects where you improved or created R packages, as this will demonstrate your hands-on expertise and understanding of the role's requirements.
✨Tip Number 2
Familiarise yourself with the latest best practices in biostatistics and R programming. Being able to discuss current trends and methodologies during interviews can set you apart and show your commitment to staying 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 remote environment.
✨Tip Number 4
Be ready to demonstrate your problem-solving skills with real-world examples. Think of challenges you've faced in R development or biostatistics and how you overcame them, as this will illustrate your critical thinking and technical prowess.
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, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your ability to write clean, modular code and your experience with documentation.
Showcase Relevant Projects: If you have worked on projects that involved evaluating R packages or developing unit tests, be sure to include these in your application. Provide specific examples of how you contributed to improving analytics capabilities.
Highlight Collaboration Skills: Since the role requires strong collaboration and communication skills, mention any experiences where you successfully worked in remote teams. This will demonstrate your ability to thrive in a collaborative environment.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your R Expertise
Be prepared to discuss your experience with R, particularly in package development and testing. Highlight specific projects where you've improved R packages or contributed to analytics, as this will demonstrate your hands-on skills and technical knowledge.
✨Emphasise Biostatistics Background
Since the role requires a strong background in biostatistics, be ready to explain how your experience aligns with this requirement. Discuss any relevant projects or roles in the pharmaceutical sector that showcase your understanding of biostatistical principles.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, think of examples where you've successfully worked with teams, especially in remote settings. Be ready to discuss how you gather requirements and feedback from stakeholders to improve R packages.
✨Demonstrate Documentation Skills
As documentation is a key part of the role, prepare to talk about your approach to writing clear, user-focused documentation. You might even want to bring samples of your previous work to illustrate your ability to create well-structured documentation and metadata.
