At a Glance
- Tasks: Shape study designs and deliver impactful analyses in a collaborative environment.
- Company: Join a forward-thinking team at HEOR, based in Cardiff or Bicester.
- Benefits: Enjoy 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 with your statistical expertise.
- Qualifications: Strong statistical skills and experience in health technology assessment required.
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.
- Lead the selection of appropriate study designs and statistical methods.
- Deliver complex analyses, including regression, survival (time-to-event), and indirect treatment comparisons.
- Draft and review key study documents (e.g. protocols, statistical analysis plans, reports).
- Advise on data exploration, analytical techniques, and interpretation of results.
- Manage multiple projects, ensuring high-quality and timely delivery.
- Collaborate closely with internal teams and clients to develop solutions and drive outcomes.
- Support proposal development and contribute to new business opportunities.
- Mentor and coach colleagues, fostering a collaborative and supportive team environment.
- Contribute to scientific outputs, including reports, presentations, and publications.
- Maintain and promote best practices, processes, and quality standards.
Requirements
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.
Benefits
- 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 in Cardiff employer: HEOR
At HEOR, we pride ourselves on being an excellent employer, offering a dynamic and supportive work culture that fosters innovation and collaboration. Our hybrid working model in Cardiff or Bicester allows for flexibility while providing ample opportunities for personal and professional growth through a strong focus on learning and development. With competitive benefits, including additional leave for significant life events and a commitment to employee well-being, we are dedicated to creating a rewarding environment for our statisticians to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Statistician in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your statistical expertise. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Tip Number 3
Showcase your analytical skills with a portfolio of your work. Whether it’s reports, presentations, or publications, having tangible evidence of your capabilities can set you apart from other candidates. We love seeing real examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for innovative thinkers who can contribute to our team.
We think you need these skills to ace Statistician in Cardiff
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 involving regression or survival analysis.
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 teams to deliver impactful insights.
Showcase Your Communication Skills:Since strong written communication is key, ensure your application materials are clear and concise. Explain complex concepts simply, as if you were discussing them with someone outside your field.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at HEOR
✨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 both internal teams and clients.
✨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.
