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- Tasks: Lead statistical analyses for health technologies and support evidence generation.
- Company: Fast-growing consultancy focused on optimising health technology development.
- Benefits: Competitive salary, professional growth, and opportunities to present at international conferences.
- Why this job: Make a real impact in healthcare by using your statistical expertise.
- Qualifications: 5+ years experience with R and strong knowledge of HTA methodologies.
- Other info: Dynamic role with opportunities for travel and line management.
The predicted salary is between 36000 - 60000 £ per year.
Visible Analytics is a quickly growing consultancy specialising in using strategic and analytics expertise to optimise the development and use of health technologies. We are looking for a Senior/Principal Statistician to lead and undertake HTA-related statistical analyses, and to provide statistical support to evidence generation and modelling activities of healthcare interventions throughout the product life cycle, pre- and post-launch, for local and global use.
Essential skills include:
- Survival analyses (including extrapolation)
- Conducting indirect treatment comparisons using network meta-analysis or population matching
- Adjustment for treatment switching
- Post-hoc analyses of clinical trials (including assessing surrogacy)
- Mapping of patient-reported outcomes, often using cutting-edge approaches
Responsibilities:
- Day-to-day client communication, management of the client relationships.
- Designing and developing, for Principal Statistician also leading, the design and development of statistical analyses with minimal oversight.
- Programming the analyses using R, WinBUGS/JAGS/Stan.
- Performing thorough quality control of internally and externally developed analyses, and support or lead conceptual validation.
- Contributing, commenting on the design of literature reviews and data extraction for literature reviews, discussing statistical methods and recommending statistical analyses.
- Developing and leading the development of project deliverables (e.g., SAPs, technical reports and strategic recommendations), sections of HTA submissions and draft abstracts and manuscripts with minimal oversight.
- Managing single workstream and, for Principal Statistician, also multi-workstream projects.
- Planning and monitoring project progress (budget/resources, timelines and deliverables) for multiple projects.
- Managing and planning project team's workload, developing draft proposals and budgets.
- Contributing to overall HTA strategy for Principal Statistician.
- Line management and training.
- Presenting and representing the company at international conferences. For Principal Statistician, also providing input into the Visible Analytics’ strategy around external visibility and scientific reputation.
- Travel may be required.
Qualifications:
- The candidate should have a thorough knowledge of the required methodologies.
- Strong quantitative skills, with solid understanding and experience with HTA and Bayesian methods is a must.
- Intellectual curiosity, attention to detail and the ability to work independently is important.
- We are looking for someone with ≥5 years of experience working with R, experience with HTAs and statistical analyses to support health economics modelling.
- Proficiency in MS Office programs: Excel, Word, PowerPoint is desired.
- Should have excellent English oral and written communication skills and comfort liaising with technical and non-technical clients (both internally and externally).
How to apply:
If you have any further questions or wish to apply for the position, please contact us by phone +44 (0) 1865 606333 or by email, enquiries@visibleanalytics.co.uk, and provide a recent CV in attachment.
Closing date:
The closing date for applications is midnight on 9th March 2026.
Senior/Principal Statistician employer: Visible Analytics
Contact Detail:
Visible Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Principal Statistician
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to health technologies and statistics. We can’t stress enough how important it is to build relationships; you never know who might have a lead on your dream job!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with survival analyses, network meta-analysis, and any cool projects you've worked on. We want to see your passion for statistics shine through!
✨Tailor Your Approach
Before you apply, do some homework on the company and the role. Make sure you understand their needs and how your skills fit in. We recommend highlighting your experience with R and HTA methodologies when you reach out – it’ll make you stand out!
✨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, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior/Principal Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical analyses and HTA methodologies. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health technologies and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with strong programming skills in R and experience with Bayesian methods, make sure to mention specific projects or analyses where you’ve used these tools. We love seeing real examples!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Visible Analytics
✨Know Your Stats
Brush up on your statistical methods, especially those related to HTA and Bayesian techniques. Be ready to discuss your experience with survival analyses and indirect treatment comparisons, as these are crucial for the role.
✨Showcase Your Programming Skills
Make sure you can talk confidently about your programming experience in R and any other relevant tools like WinBUGS or JAGS. Prepare examples of how you've used these skills in past projects to solve complex problems.
✨Communicate Clearly
Since you'll be liaising with both technical and non-technical clients, practice explaining complex statistical concepts in simple terms. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Project Management Questions
Expect questions about managing multiple workstreams and project timelines. Think of specific examples where you've successfully led projects, managed budgets, or trained team members, as this will highlight your leadership capabilities.
