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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 is desirable but not essential; experience with programming languages is a plus.
The predicted salary is between 28800 - 48000 £ per year.
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. As Mathematical Modeller 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.
About the Company
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 company excels in all types of modelling, including economic, decision, disease and natural history models, as well as complex simulation models. They are trusted experts in creating new models that break down intricate problems with clarity and transparency.
The company attributes its success to the exceptional talent they have on their team. To help employees reach their full potential, they offer an inspiring work environment, career development opportunities, a strong focus on work-life balance, and a highly competitive remuneration package.
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
Network with professionals in the life sciences and market access sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in mathematical modelling.
✨Tip Number 2
Showcase your modelling skills through personal projects or contributions to open-source initiatives. This not only demonstrates your expertise but also highlights your passion for solving real-world problems using data.
✨Tip Number 3
Familiarise yourself with the specific modelling techniques used in health economics. Understanding the nuances of economic, decision, and simulation models will give you an edge during interviews and discussions with the team.
✨Tip Number 4
Prepare to discuss how your previous experiences align with the company's mission of providing clear and transparent solutions. Be ready to share examples of how you've tackled complex problems in your past roles.
We think you need these skills to ace Mathematical Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 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 Excel, VBA, and any other programming languages you know.
Highlight Relevant Experience: In your application, emphasise any previous roles or projects where you successfully translated complex data into actionable insights. This will demonstrate your capability to meet the key requirements of the role.
Showcase Your Problem-Solving Skills: Include examples of how you've approached real-world problems using your modelling skills. This could be through academic projects, internships, or professional experiences that illustrate your critical and creative thinking.
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 work in health economics and be ready to discuss how your skills align with their innovative strategies.
✨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 solve problems on the spot to showcase your proficiency.
✨Demonstrate Your Passion for Data Science
Express your enthusiasm for using data science to tackle real-world issues. Share examples of how you've translated complex data into actionable insights, as this aligns with the company's mission and values.
