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- Tasks: Develop and evaluate innovative models for decision-making in the life sciences industry.
- Company: Join a renowned consultancy known for excellence in mathematical and economic modelling since 2011.
- Benefits: Enjoy a competitive salary, career growth opportunities, and a strong focus on work-life balance.
- Why this job: Be part of a creative team solving real-world problems with data-driven solutions.
- Qualifications: Degree in Mathematics or related field; proficiency in Excel and VBA required.
- Other info: PhD preferred but not essential; experience in project management is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Join an innovative market access consultancy as a Mathematical Modeller. Are you a creative and talented Mathematical Modeller looking to apply your skills to real-world challenges? If you're passionate about developing innovative models that provide clear and transparent solutions to complex problems, we want to hear from you.
Our client, a renowned market access consultancy, is looking for a skilled Mathematical Modeller to join their award-winning team. You will play a key role in developing sophisticated models that support crucial decisions within the life sciences industry—spanning pharma, diagnostics, medical devices, healthcare, and beyond—across a variety of disease areas.
Founded in 2011 by a post-doctoral modeller recognized for expertise in complex modelling, the company set out with a vision to create a science-driven, innovation-led consultancy in the market access space. They believe in a data-rich, scientific approach to market access, which has proven essential in delivering stronger health economics and market access solutions. Now, 14 years on, the company has thrived and is well-known for its excellence in mathematical, economic, and statistical modelling. They support a diverse range of clients, from start-ups and SMEs to global multinationals and health organisations, helping them understand the efficacy, efficiency, and value of treatments, diagnostics, and healthcare solutions.
The Role: As a Mathematical Modeller, you will be a key figure within the company’s health economics modelling team. You will design, develop, and evaluate intuitive models that directly contribute to decision-making processes, all while collaborating with a highly talented and creative team.
Key Requirements for the Role:
- Education: A degree in Mathematics or a related field. A PhD is desirable but not essential.
- Experience: Proficiency in Excel and VBA (experience with other languages such as C++, Python, etc., is a plus).
- Strong background in developing complex models.
- Growing experience in project management.
- A passion for translating complex data into clear, actionable insights through model design and evaluation.
- Interest in how data science and engineering can solve real-world problems.
- Ability to think critically and creatively, developing innovative solutions.
Why Join the Company?
- Be part of a forward-thinking, innovative team at the forefront of market access consultancy.
- Work with a variety of clients, from cutting-edge start-ups to global leaders in the life sciences industry.
- Enjoy a healthy work-life balance, excellent career growth opportunities, and a competitive salary package.
If you are an innovative thinker with a passion for developing impactful models, this is a fantastic opportunity to join a company that values creativity and expertise in equal measure.
To Apply: For more information or to express your interest in this exciting opportunity, please contact alex@scientisearch.com.
Mathematical Modeller employer: Scientis Search Ltd
Contact Detail:
Scientis Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mathematical Modeller
✨Tip Number 1
Familiarise yourself with the latest trends in mathematical modelling within the life sciences sector. Understanding current methodologies and technologies will not only enhance your knowledge but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Network with professionals in the market access consultancy space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Showcase your problem-solving skills by preparing case studies or examples of previous modelling projects you've worked on. Be ready to discuss how you approached complex problems and the impact your models had on decision-making processes.
✨Tip Number 4
Research the company’s past projects and clients to understand their approach and values. Tailoring your discussions during interviews to reflect your alignment with their mission and showcasing how your skills can contribute to their success will make a strong impression.
We think you need these skills to ace Mathematical Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in mathematical modelling, particularly any projects that demonstrate your ability to develop complex models. Use specific examples that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for mathematical modelling and how your skills can contribute to the company's innovative approach. Mention your familiarity with tools like Excel and VBA, and express your interest in the life sciences sector.
Highlight Relevant Skills: In your application, emphasise your proficiency in programming languages such as C++ or Python, if applicable. Discuss your project management experience and how it has prepared you for this role.
Showcase Problem-Solving Abilities: Provide examples of how you've translated complex data into actionable insights in previous roles. This will demonstrate your critical thinking and creative problem-solving skills, which are essential for the position.
How to prepare for a job interview at Scientis Search Ltd
✨Showcase Your Modelling Skills
Be prepared to discuss your previous modelling projects in detail. Highlight the methodologies you used, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving abilities.
✨Understand the Company’s Approach
Research the consultancy's focus on data-rich, scientific approaches to market access. Familiarise yourself with their past projects and successes, as this will help you align your answers with their values and show genuine interest in their work.
✨Prepare for Technical Questions
Expect technical questions related to Excel, VBA, and possibly other programming languages like Python or C++. Brush up on your technical knowledge and be ready to explain your thought process when developing models.
✨Demonstrate Critical Thinking
During the interview, showcase your ability to think critically and creatively. Discuss how you approach complex problems and provide examples of innovative solutions you've developed in the past. This will highlight your fit for the role.
