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- Tasks: Develop and refine R packages for healthcare projects, ensuring quality and user-friendliness.
- Company: Join a leading consultancy making a real impact in healthcare and life sciences.
- Benefits: Enjoy remote work flexibility and the chance to work on meaningful projects.
- Why this job: Be part of a collaborative team where your coding skills can improve lives and health outcomes.
- Qualifications: Expertise in R programming and package development, with strong documentation skills required.
- Other info: This role is UK-based and does not offer sponsorship.
The predicted salary is between 42000 - 84000 £ per year.
We’re working with a leading data science consultancy delivering impactful solutions to clients across healthcare, life sciences, and related sectors. They’re now looking for a Data Scientist with deep R expertise to support a high-profile project focused on developing and refining internal packages.
This is an excellent opportunity for someone who enjoys hands-on coding, testing, and documentation — and thrives in an environment that values precision, clarity, and collaboration.
What you’ll be doing:- Reviewing, evaluating, and documenting internal R packages, ensuring they are robust, well-structured, and user-friendly
- Writing unit tests in line with best practice for R package development
- Collaborating closely with internal stakeholders and technical teams to meet delivery goals
- Expert-level R programming, particularly in package development
- Experience with unit testing frameworks in R and sound software engineering practices
- Familiarity with GitHub and version control workflows
- Excellent documentation and communication skills, with the ability to write clear user guides and technical notes
- A background or interest in biostatistics, clinical programming, or healthcare analytics
- Experience working in consultancy or client-facing environments
Join a fast-moving team where your technical skills will directly contribute to projects that make a real-world difference — especially in areas where data has the power to improve lives and health outcomes.
Sadly, this role doesn't offer sponsorship, but if you are interested in chatting, feel free to send me a message.
Senior Data Scientist employer: Sr2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
Sr2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your R package development experience in any conversations you have. Be ready to discuss specific projects where you've developed or refined packages, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with the latest trends and best practices in R programming and unit testing frameworks. Being able to discuss these topics confidently can set you apart during interviews.
✨Tip Number 3
Network with professionals in the healthcare and life sciences sectors. Engaging with others in these fields can provide insights into the consultancy environment and may lead to valuable connections.
✨Tip Number 4
Prepare to discuss how you approach collaboration and communication within technical teams. Highlighting your ability to work well with others will resonate with the consultancy's emphasis on teamwork.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expert-level R programming skills and experience in package development. Include specific examples of projects where you've developed or refined R packages, as well as any relevant unit testing frameworks you've used.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the consultancy environment. Mention your hands-on coding experience and how you thrive in collaborative settings. Be sure to relate your background in biostatistics or healthcare analytics if applicable.
Showcase Documentation Skills: Since excellent documentation is crucial for this role, consider including a brief example of user guides or technical notes you've written in the past. This will demonstrate your ability to communicate complex information clearly.
Highlight Collaboration Experience: Emphasise any previous experiences where you've collaborated with internal stakeholders or technical teams. This could be through specific projects or roles that required teamwork to meet delivery goals, showcasing your ability to work effectively in a fast-moving environment.
How to prepare for a job interview at Sr2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your R Expertise
Be prepared to discuss your experience with R programming in detail. Highlight specific projects where you've developed R packages, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your Testing Knowledge
Since unit testing is crucial for this role, be ready to explain your approach to writing unit tests in R. Discuss any frameworks you’ve used and how they contributed to the robustness of your packages.
✨Emphasise Collaboration Skills
This position requires close collaboration with stakeholders. Share examples of how you've worked effectively in teams, particularly in consultancy settings, and how you ensured clear communication throughout the project lifecycle.
✨Prepare for Technical Questions
Expect technical questions related to R package development and version control. Brush up on best practices and be ready to discuss how you document your work, as clarity and precision are key in this role.
