At a Glance
- Tasks: Join our team to generate impactful analytical insights and shape study designs.
- Company: Dynamic HEOR team with a focus on collaboration and innovation.
- Benefits: Competitive pay, personal development support, and extra leave for special occasions.
- Other info: Hybrid work model with opportunities for mentorship and career growth.
- Why this job: Make a real difference in healthcare decision-making while developing your skills.
- Qualifications: Strong statistical expertise and experience in health technology assessment.
The predicted salary is between 40000 - 50000 € per year.
Location: Cardiff or Bicester (Hybrid – 3 days in office)
We are looking for an innovative and collaborative statistician to join our team at HEOR. This is an exciting opportunity to play a key role in generating high-quality evidence and delivering impactful analytical insights across a range of projects. As a Statistician, you will shape study design, apply advanced statistical techniques, and work closely with multidisciplinary teams and clients to deliver robust, meaningful analyses. You'll also contribute to developing others, share your expertise, and help continuously strengthen our analytical capability.
- Leading the selection of appropriate study designs and statistical methods
- Delivering complex analyses, including regression, survival (time-to-event), and indirect treatment comparisons
- Drafting and reviewing key study documents (e.g. protocols, statistical analysis plans, reports)
- Advising on data exploration, analytical techniques, and interpretation of results
- Managing multiple projects, ensuring high-quality and timely delivery
- Collaborating closely with internal teams and clients to develop solutions and drive outcomes
- Supporting proposal development and contributing to new business opportunities
- Mentoring and coaching colleagues, fostering a collaborative and supportive team environment
- Contributing to scientific outputs, including reports, presentations, and publications
- Maintaining and promoting best practices, processes, and quality standards
Skills and experience
- Strong statistical expertise with experience applying a range of analytical methods (e.g. regression, survival analysis, indirect comparisons)
- Experience contributing to research design and statistical analysis plans
- Experience working on analyses relevant to health technology assessment ("HTA") and/or healthcare decision-making
- Proficiency in data cleaning, processing, and statistical analysis using R
- Excellent problem-solving and critical thinking skills
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly
- Experience working collaboratively across multidisciplinary teams and engaging with stakeholders
Competitive compensation and benefits package, including:
- A ‘learning’ culture focused on personal development and supported by study bursaries
- Workplace pension scheme
- Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Pluxee
- Employee assistance programme
- Employees are given an additional day of leave for: their wedding and moving house
- Annual leave purchase scheme of up to 10 additional days’ leave per year
If you would like to request any reasonable adjustment, for any part of the recruitment process (including application), please let us know by emailing careers@heor.co.uk
Statistician employer: Health Economics and Outcomes Research LTD
At HEOR, we pride ourselves on being an excellent employer, offering a dynamic and supportive work environment in Cardiff or Bicester. Our hybrid model promotes work-life balance while fostering a culture of continuous learning and professional growth, with opportunities for mentorship and collaboration across multidisciplinary teams. With competitive benefits and a commitment to employee well-being, we empower our statisticians to make meaningful contributions to healthcare decision-making and analytical excellence.
Contact Detail:
Health Economics and Outcomes Research LTD Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Statistician
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, and don’t be shy about asking for a chat. We love seeing candidates who are genuinely interested in our work and culture.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical techniques and real-world applications. We want to see how you think, so be ready to discuss your past projects and how you tackled challenges.
✨Tip Number 3
Show us your collaborative side! During interviews, highlight experiences where you worked with multidisciplinary teams. We value teamwork, so let us know how you contributed to group success.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can go a long way in showing your enthusiasm for the role. And remember, apply through our website for the best chance!
We think you need these skills to ace Statistician
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your statistical expertise and any relevant projects you've worked on, especially those related to health technology assessment.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Statistician role. Share specific examples of how you've applied advanced statistical techniques and collaborated with multidisciplinary teams in the past.
Showcase Your Communication Skills:Since strong written communication is key, ensure your application is clear and concise. Avoid jargon where possible and explain complex concepts simply, as if you were talking to someone outside the field.
Apply Through Our Website:We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and you’ll have access to all the latest updates about the recruitment process.
How to prepare for a job interview at Health Economics and Outcomes Research LTD
✨Know Your Stats
Brush up on your statistical techniques, especially regression and survival analysis. Be ready to discuss how you've applied these methods in past projects, as this will show your expertise and relevance to the role.
✨Showcase Collaboration Skills
Prepare examples of how you've worked with multidisciplinary teams. Highlight your ability to communicate complex concepts clearly, as this is crucial for collaborating with clients and colleagues alike.
✨Master the Art of Documentation
Familiarise yourself with drafting key study documents like protocols and statistical analysis plans. Be prepared to discuss your experience in this area, as it demonstrates your attention to detail and understanding of the research process.
✨Be Ready to Problem-Solve
Think of specific challenges you've faced in your previous roles and how you overcame them. This will showcase your critical thinking skills and ability to deliver high-quality analyses under pressure.
