Mathematician

JR United Kingdom; Newcastle upon Tyne; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading consultancy in market access seeks an innovative Mathematical Modeller to develop models for the life sciences industry. This role supports strategic decision-making and offers excellent career development. If you have a passion for modelling and problem-solving, we want to hear from you!

Benefits

Work-life balance

Career development opportunities

Competitive remuneration package

Qualifications

• Degree in Mathematics or related field required.
• Experience developing complex models is needed.
• Project management experience is desirable.

Responsibilities

• Design and develop intuitive models that inform decision-making.
• Evaluate models supporting health economics.

Skills

Excel

VBA

C++

Python

Education

Degree in Mathematics or related field

PhD (preferred but not required)

Job description

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Mathematician, Newcastle-upon-Tyne, Tyne and Wear

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Client:

Scientis Search Ltd

Location:

Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Mathematical Modeller – Join an Innovative Market Access Consultancy

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 seeking a skilled Mathematical Modeller to join their award-winning team. In this role, you will develop sophisticated models supporting decision-making within the life sciences industry—covering pharma, diagnostics, medical devices, healthcare, and more—across various disease areas.

About the Company

Founded in 2011 by a post-doctoral modeller recognized for expertise in complex modelling, the company aims to create a science-driven, innovation-led consultancy in market access. They emphasize a data-rich, scientific approach to deliver effective health economics and market access solutions.

Over 14 years, the company has built a reputation for excellence in mathematical, economic, and statistical modelling. They serve a diverse client base, from start-ups and SMEs to global multinationals and health organizations, helping them assess the efficacy, efficiency, and value of treatments and healthcare solutions. Their modelling expertise includes economic, decision, disease, natural history, and complex simulation models, with a focus on clarity and transparency.

The company's success is driven by its talented team. They offer an inspiring work environment, career development opportunities, a focus on work-life balance, and a competitive remuneration package.

The Role

As a Mathematical Modeller, you will be a key member of the health economics modelling team. Your responsibilities include designing, developing, and evaluating intuitive models that inform decision-making, collaborating with a talented and creative team.

Key Requirements:

• A degree in Mathematics or a related field; a PhD is a plus but not required.
• Proficiency in Excel and VBA; experience with other languages like C++, Python is advantageous.
• Experience in developing complex models.
• Project management experience is desirable.
• A passion for translating complex data into actionable insights through modelling.
• Interest in how data science and engineering can address real-world problems.
• Critical and creative thinking skills for developing innovative solutions.

Why Join Us?

• Be part of an innovative, forward-thinking team at the forefront of market access consultancy.
• Work with diverse clients, from start-ups to global industry leaders.
• Enjoy work-life balance, career growth, and a competitive salary.

If you're an innovative thinker passionate about impactful modelling, this is a great opportunity to join a company that values creativity and expertise.

To apply or for more information, please contact [emailprotected].