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- Tasks: Lead complex evidence-synthesis programmes and guide statistical strategy on impactful projects.
- Company: Dynamic organisation focused on health economics and evidence synthesis.
- Benefits: Flexible working culture, autonomy, and opportunities for professional growth.
- Why this job: Shape methodologies and influence decision-making in a collaborative team.
- Qualifications: Master's or PhD in a quantitative field with significant experience in evidence synthesis.
- Other info: Engaging environment with exposure to diverse therapeutic areas and senior leadership.
The predicted salary is between 36000 - 60000 £ per year.
Location: Oxfordshire or London
Sector: HEOR / Evidence Synthesis / HTA
Type: Permanent, full-time
Our client is seeking a Principal Statistician to lead complex evidence‐synthesis programmes and guide statistical strategy across high‐impact HTA and market access projects. This role offers substantial influence, technical leadership, and the opportunity to shape methodologies within a collaborative, methodologically focused team.
The Role
As a Principal Statistician, you will own the design, delivery, and interpretation of statistical components across multiple evidence‐synthesis and HTA projects. You will partner closely with multidisciplinary teams while providing direction and mentorship for developing statisticians.
Key responsibilities include:
- Designing statistical analysis plans and feasibility assessments for advanced evidence‐synthesis challenges.
- Coding and running analyses including pairwise meta‐analysis, NMAs (including time‐varying survival models), MAIC/PAIC, and individual patient data analyses.
- Overseeing quality control processes to ensure methodological rigour and reproducibility.
- Communicating complex statistical results clearly to clients and cross‐functional teams.
- Leading contributions to proposals, pitch presentations, and development of internal methodologies, SOPs, and QC frameworks.
- Providing technical leadership, coaching, and mentorship to junior and mid‐level statisticians.
About You
You bring depth of experience in evidence synthesis and thrive in roles that blend analytical excellence, leadership, and intellectual ownership. You enjoy shaping projects, influencing decision‐making, and raising the statistical bar within a team.
Essential experience:
- Master's degree or PhD in a quantitative discipline.
- Significant experience leading evidence‐synthesis statistical work (meta‐analysis, NMA, indirect comparisons).
- Proficiency in R, with familiarity in Bayesian approaches (e.g., BUGS).
- Strong track record in HTA‐focused analyses and interpreting results for health economic models and submissions.
- Experience leading or mentoring statisticians and influencing analytical approaches.
- Clear and confident communication of complex statistical concepts to diverse audiences.
Desirable:
- Experience with advanced NMA developments (e.g., ML-NMR).
- Experience delivering training or statistical learning initiatives.
- Consultancy experience managing multiple projects simultaneously.
What’s on Offer
You’ll join a supportive, engaging environment where quality, curiosity, and development are central. Expect:
- A flexible working culture with genuine autonomy.
- Regular interaction with senior leadership and the chance to shape internal methodologies.
- Broad exposure across therapeutic areas and diverse HTA‐focused projects.
- The influence and visibility expected of a true Principal‐level role.
Principal Statistician in London employer: Barrington James Limited
Contact Detail:
Barrington James Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Statistician in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to evidence synthesis and HTA. You never know who might have a lead on your dream Principal Statistician role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with meta-analysis and NMA. Share specific examples of how you've led projects and mentored others – it’ll show you’re the right fit for the team!
✨Tailor Your Approach
Before any interview, do your homework on the company and their recent projects. Tailor your responses to reflect how your skills in statistical analysis and HTA can directly benefit them. This shows you’re not just another candidate; you’re the one they need!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Statistician in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in evidence synthesis and statistical methodologies to show us you’re the right fit for the Principal Statistician role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about this position. Share examples of your leadership in statistical projects and how you’ve influenced decision-making in previous roles. We love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in R and any experience with Bayesian approaches. We want to see how you’ve applied these skills in real-world scenarios, especially in HTA-focused analyses.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Barrington James Limited
✨Know Your Stats Inside Out
As a Principal Statistician, you’ll need to demonstrate your expertise in evidence synthesis and statistical methodologies. Brush up on key concepts like meta-analysis and NMA, and be ready to discuss how you've applied these in past projects. This will show your depth of knowledge and confidence in the subject.
✨Prepare for Technical Questions
Expect to face technical questions that assess your proficiency in R and Bayesian approaches. Practise coding scenarios or analyses you might encounter in the role. Being able to walk through your thought process clearly will impress the interviewers and showcase your analytical skills.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior statisticians, be prepared to share examples of how you've led teams or influenced decision-making in previous roles. Highlight any experiences where you’ve provided direction or training, as this will demonstrate your capability to guide others effectively.
✨Communicate Complex Ideas Simply
You’ll need to convey complex statistical results to diverse audiences. Practise explaining your work in layman's terms, perhaps by using analogies or simple examples. This skill is crucial for ensuring that your insights are understood and valued by clients and cross-functional teams.
