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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 in Oxford employer: Visible Analytics
Contact Detail:
Visible Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Principal Statistician in Oxford
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and conferences where you can meet professionals in the health tech field. Don’t be shy—introduce yourself and chat about your passion for statistics and health technologies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical analyses, especially those related to HTA. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Leverage LinkedIn! Connect with people in the industry, follow companies like Visible Analytics, and engage with their content. It’s a great way to stay updated and might even lead to job opportunities.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to tailor your application to highlight your experience with R and HTA methodologies, as that’s what we’re looking for!
We think you need these skills to ace Senior/Principal Statistician in Oxford
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
Make sure you brush up on your statistical methods, especially survival analyses and network meta-analysis. Be ready to discuss how you've applied these techniques in past projects, as this will show your expertise and confidence in the field.
✨Showcase Your Programming Skills
Since programming in R and other tools is crucial for this role, prepare to talk about specific projects where you've used these languages. Bring examples of your work or be ready to explain your coding process, as this will demonstrate your technical proficiency.
✨Understand HTA Processes
Familiarise yourself with Health Technology Assessment (HTA) methodologies and how they relate to statistical analyses. Being able to articulate your understanding of HTA will impress the interviewers and show that you're aligned with their goals.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms, as you'll need to liaise with both technical and non-technical clients. Good communication skills are essential, so consider doing mock interviews to refine your ability to convey your ideas clearly.
