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- Tasks: Join a team solving complex healthcare challenges through mathematical and statistical modelling.
- Company: HEOR is dedicated to improving health outcomes by ensuring access to new medicines.
- Benefits: Enjoy competitive pay, private health insurance, study bursaries, and discounts on various services.
- Why this job: Make a real impact in healthcare while collaborating with curious minds in a supportive culture.
- Qualifications: Bachelor's degree in health economics or a quantitative subject; experience with R/Python/Matlab preferred.
- Other info: Flexible working options and additional leave for special occasions like weddings.
The predicted salary is between 36000 - 60000 £ per year.
Are you a highly analytical and inquisitive thinker with a knack for solving complex problems? Do you thrive on collaborating with others to explore innovative approaches to mathematical and statistical modelling? Can you transform intricate data into actionable insights that drive meaningful change? Have you considered how your skills can be harnessed to tackle real-world healthcare challenges? At HEOR, you will join a team of talented and curious individuals who excel at solving the most complex decision problems for our clients. Our work ensures that patients receive timely access to new medicines and treatments, helping them live longer and healthier lives.
We are seeking passionate individuals with strong backgrounds in mathematical and statistical modelling to join our team. If you have experience in quantitative subjects and a desire to make a difference in the health outcomes space, we want to hear from you!
Curious? Great, if you have the following, we should probably have a conversation:
- The ability to draw and communicate meaningful insights from complex information
- Curiosity about and interest in data and how data engineering and/or data science can solve real world problems
- The ability to apply novel thinking to arrive at the best solution to a problem
- A flexible and adaptable approach with the ability to think critically and creatively
- High levels of organisation with great attention to detail
- Excellent written and verbal communications skills
- Bachelor's degree or above in health economics or alternative quantitative subject (economics, statistics, mathematics, operational research, physics, engineering)
- Experience working with statistical programming languages (R/Python/Matlab)
- Knowledge of common health economics modelling methodologies
- Experience in developing models in Excel and VBA
Find out more about what we do here Case Studies - HEOR and in the meantime, we’d love to find out more about you. Please send your CV and cover letter detailing your areas of interest.
Competitive compensation and benefits package, including:
- A ‘learning’ culture focused on personal development and supported by study bursaries
- Workplace pension scheme
- Private health insurance with AXA Health
- Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Sodexho
- Cycle to work scheme
- 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
Modeller, (Mathematical Modeller / Health Economics Modeller) employer: HEOR
Contact Detail:
HEOR Recruiting Team
careers@heor.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Modeller, (Mathematical Modeller / Health Economics Modeller)
✨Tip Number 1
Familiarise yourself with the latest trends in health economics and mathematical modelling. This will not only help you understand the field better but also allow you to engage in meaningful conversations during interviews, showcasing your genuine interest.
✨Tip Number 2
Network with professionals in the health economics and modelling sectors. Attend relevant conferences or webinars, and connect with individuals on platforms like LinkedIn. This can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, especially in R, Python, or Matlab. Consider working on personal projects or contributing to open-source projects that demonstrate your ability to apply these languages in real-world scenarios.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to solve complex problems. Think about past experiences where your analytical skills made a significant impact, as this will help you stand out during the interview process.
We think you need these skills to ace Modeller, (Mathematical Modeller / Health Economics Modeller)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in mathematical and statistical modelling, as well as any relevant programming skills in R, Python, or Matlab. Emphasise your educational background in health economics or related quantitative subjects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving healthcare challenges and how your analytical skills can contribute to the team's goals. Mention specific examples of how you've applied novel thinking to solve complex problems in the past.
Showcase Your Communication Skills: Since excellent written and verbal communication skills are essential for this role, ensure that your application is clear, concise, and free of errors. Use straightforward language to convey your insights and experiences effectively.
Highlight Relevant Experience: If you have experience with health economics modelling methodologies or developing models in Excel and VBA, make sure to include this in your application. Detail any projects or roles where you successfully applied these skills.
How to prepare for a job interview at HEOR
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've used your analytical skills to solve complex problems. Highlight any relevant projects or experiences that demonstrate your ability to draw meaningful insights from intricate data.
✨Demonstrate Curiosity About Data
Express your genuine interest in data and its applications in solving real-world healthcare challenges. Be ready to discuss how data engineering or data science can be leveraged in health economics, showcasing your innovative thinking.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly. Prepare to explain complex concepts in a straightforward manner, ensuring you can convey your ideas effectively to both technical and non-technical audiences.
✨Familiarise Yourself with Health Economics Methodologies
Brush up on common health economics modelling methodologies and be prepared to discuss your experience with them. If you have worked with statistical programming languages like R, Python, or Matlab, be ready to share specific examples of how you've applied these tools in your work.
