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- Tasks: Collaborate with biostatisticians to enhance statistical modelling and develop robust R-based workflows.
- Company: Join Acuity Analytics, a global leader in digital transformation and data insights.
- Benefits: Competitive salary, professional development, and a supportive team environment.
- Other info: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Make a real impact by bridging statistical science with modern engineering practices.
- Qualifications: Strong background in statistics, advanced R skills, and experience with collaborative workflows.
The predicted salary is between 60000 - 80000 £ per year.
Please note that for this role, you must be based in the UK or Portugal.
About us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the role
We are looking for a Senior Data Scientist (Biostatistics) to support our clients in advancing their statistical modelling capabilities. In this role, you will work closely with client-side biostatisticians and cross-functional teams to refine modelling approaches, design robust and scalable R-based processes, and support the deployment of statistical models as production-grade software on cloud infrastructure. This is a highly collaborative and consultative position where you’ll act as a technical expert and advisor—helping clients bridge statistical science with modern engineering best practices. You’ll ensure models are reproducible, maintainable, and production-ready, while enabling teams to adopt more efficient and scalable ways of working.
Skills and Experience required
- Core skills
- Strong background in statistics, ideally with experience as a biostatistician
- Advanced proficiency in R, including package development
- Solid experience with version control (Git) and collaborative workflows
- Experience with CI/CD pipelines, automated testing, and documentation practices
- Strong understanding of reproducible research and robust statistical modelling practices
- Experience designing scalable R-based processes for modelling workflows
- Familiarity with deploying models or analytical workflows into production environments
- Experience with Databricks or similar cloud-based data platforms
- Exposure to API development or integration (nice to have)
- Excellent written and verbal communication skills
- Ability to translate complex statistical concepts into clear, practical guidance
- Strong stakeholder engagement and advisory mindset
What you will do
- Collaborate closely with biostatisticians and cross-functional teams
- Refine and enhance statistical modelling approaches and methodologies
- Design and develop robust R-based workflows and packages
- Implement best practices for testing, documentation, and CI/CD in statistical projects
- Support the deployment of models as scalable, production-ready software on cloud platforms
- Provide technical guidance and mentorship to improve modelling and engineering standards
- Ensure reproducibility, maintainability, and performance of statistical solutions
Why join us
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.
Senior Data Scientist (Biostatistics) employer: Acuity Analytics
Contact Detail:
Acuity Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Biostatistics)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to data science and biostatistics. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your R projects and statistical models. Share your work on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining complex concepts in simple terms—this will show your communication skills and ability to engage with stakeholders.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining our team at Acuity Analytics.
We think you need these skills to ace Senior Data Scientist (Biostatistics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with R, biostatistics, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Don’t forget to mention your collaborative spirit and technical expertise!
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in R, version control, and CI/CD practices. We’re looking for someone who can hit the ground running, so let us know how you’ve used these skills in past projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Acuity Analytics
✨Know Your Stats
Brush up on your statistical knowledge, especially biostatistics. Be ready to discuss specific modelling techniques and how you've applied them in past projects. This will show that you’re not just familiar with the theory but can also implement it practically.
✨Show Off Your R Skills
Since advanced proficiency in R is a must, prepare to demonstrate your skills. Bring examples of R packages you've developed or workflows you've designed. If possible, be ready to talk about how you’ve used version control and CI/CD pipelines in your projects.
✨Communicate Clearly
You’ll need to translate complex concepts into clear guidance, so practice explaining your work in simple terms. Think about how you would describe your statistical models to someone without a technical background. This will highlight your communication skills and stakeholder engagement.
✨Be Collaborative
This role is all about teamwork, so be prepared to discuss how you’ve worked with cross-functional teams in the past. Share examples of how you’ve collaborated with biostatisticians or other stakeholders to refine modelling approaches and ensure successful project outcomes.