At a Glance
- Tasks: Lead advanced statistical analyses and provide strategic input on healthcare projects.
- Company: Join a global leader in healthcare intelligence with a supportive team culture.
- Benefits: Enjoy private medical insurance, generous pension contributions, and flexible working arrangements.
- Why this job: Make a real impact in healthcare by shaping evidence-based decisions.
- Qualifications: Post-graduate qualification in Health Economics or Statistics and 7 years of relevant experience.
- Other info: Dynamic environment with opportunities for mentorship and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Consultant – Health Economics Statistician to join our team in London, UK on a Hybrid basis. This is an amazing opportunity to provide strategic statistical input into the generation of healthcare evidence by incorporating state-of-the-art statistical methodologies into resolution of client problems.
We would love to speak with you if you have a good understanding of statistics including experience with working with large, complex data sets from clinical trials or real-world data and development of network meta-analyses and indirect comparisons.
About You – experience, education, skills, and accomplishments
- Relevant post-graduate qualification e.g., MSc / PhD in Health Economics or medical Statistics preferred or a significant level of consultancy experience
- 7 years of knowledge and experience in statistics, including experience with working with large, complex data sets from clinical trials or real-world data and development of network meta-analyses and indirect comparison
- Experience in performing NMA, ITC (MAIC, STC), IPD analyses; and bespoke statistical analyses (survival analysis, etc.)
- Proven experience in statistical packages in at least one of the following WinBUGS, R, STATA and/or SAS
It would be great if you also had . . .
- Experience from a consultancy or industry background; experience with HTA submission
- First-class communication skills with the ability to engage with clients in issues relating to projects in areas of responsibility
- Time management skills, including the ability to manage own time to meet deadlines
- A good understanding of the pharmaceutical industry would be an advantage
Key Responsibilities
- Take the lead on HEOR projects that involve advanced statistical analyses, modelling and reporting, ensuring outputs are accurate, well-designed and aligned with client objectives.
- Provide strategic statistical input across projects by applying state-of-the-art methods and guiding clients on the most appropriate analytical approaches.
- Shape the statistical design and planning of studies by working closely with the Team Leader or Specialist, and by contributing your own expertise and recommendations by being involved in the projects.
- Support RFP responses by drafting statistical components, contributing to proposal strategy, and joining client pitches when needed.
- Manage customer engagements from scoping to delivery, overseeing timelines, budgets and quality, and ensuring the work meets agreed goals and expectations.
- Act as a main point of contact for clients, building strong relationships, managing expectations and advising on methodological considerations throughout the project.
- Carry out complex analytical tasks by working with clinical, economic and real-world datasets, and translate findings into clear, meaningful insights that support client decision-making.
- Develop new analytical approaches and solutions to address specific HEOR and healthcare challenges.
- Provide training and guidance to internal teams to strengthen understanding and use of statistical methods across the consulting group.
- Mentor junior colleagues, supporting their development, reviewing their work and helping them build strong technical and consulting skills.
- Work with senior leadership to identify new opportunities, contribute to proposal shaping, and support the growth of the HEOR and statistical offering.
- Help refine and evolve consulting methodologies to ensure they reflect current statistical thinking and healthcare trends.
About the team
Our international consulting team comprises nearly 200 professionals strategically positioned across different regions, bringing a wealth of perspectives and expertise in HEOR, Pricing & Market Access and Value Communication to the table. Embrace a dynamic and creative team culture that thrives on mutual support. We hold Thinking Forward as our core value, driving our collaborative efforts and fostering an environment of growth.
Hours of Work: This is a full-time permanent position based in London, UK, and will require hybrid working in our Liverpool Street office (2-3 days per week in the office). This position requires weekday (Monday - Friday) attendance with some scheduling flexibility available around core working hours.
Our UK Employee Benefits include:
- Private Medical Insurance or Health Cash plan
- Generous Pension Plan contribution rates
- Income protection insurance
- Life insurance
- Sports Club Subsidy (Company pays 50% of gym membership, or up to £500)
- Emergency Childcare or Adult care cover
- Eyecare vouchers
- From 25 Days Annual Leave + 8 Bank Holidays (option to buy and sell Annual leave)
Senior Statistician - HTA in London employer: Clarivate Analytics
Contact Detail:
Clarivate Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistician - HTA in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the health economics and statistics field. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by practising common questions related to statistical methodologies and real-world data analysis. We recommend doing mock interviews with friends or colleagues to build confidence and refine your answers.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your past projects, especially those involving complex data sets and statistical analyses. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Statistician - HTA in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Consultant – Health Economics Statistician role. Highlight your relevant experience with large data sets and statistical methodologies, as this will show us you understand what we're looking for.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for our team. Share specific examples of your past work in health economics or statistics, and how it aligns with the responsibilities outlined in the job description.
Showcase Your Skills: Don’t forget to mention your proficiency in statistical packages like R, STATA, or SAS. We want to see how your technical skills can contribute to our projects, so be clear about your experience with these tools.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Clarivate Analytics
✨Know Your Stats Inside Out
Make sure you brush up on your statistical knowledge, especially around network meta-analyses and indirect comparisons. Be ready to discuss your experience with large data sets and how you've applied advanced statistical methods in real-world scenarios.
✨Showcase Your Consultancy Experience
Highlight any relevant consultancy experience you have, particularly in health economics. Prepare examples of how you've managed client relationships and delivered projects that met their objectives, as this will demonstrate your ability to engage effectively with clients.
✨Prepare for Technical Questions
Expect technical questions related to statistical packages like R, STATA, or SAS. Brush up on your skills and be prepared to discuss specific analyses you've performed, including survival analysis or bespoke statistical methods.
✨Demonstrate Your Communication Skills
Since first-class communication is key, practice explaining complex statistical concepts in simple terms. Think about how you can convey your insights clearly and meaningfully, as this will show your ability to translate data into actionable recommendations for clients.