Mathematical modeller

Sharnbrook, Bedfordshire, UK

Our thinking keeps Unilever in the lead as one of the largest and most successful FMCG companies. Its one of the reasons why, all over the globe, 150 million times a day, someone chooses one of our products to bring into their home.

As a mathematical modeller with our Safety and Environmental Assurance Centre (SEAC), you will provide capability for assessing the risks that chemicals present in consumer products sold by Unilever across the globe. You will work in multidisciplinary teams alongside toxicologists, chemists and other modellers by applying modelling techniques that directly contribute to toxicology risk assessments. You will lead the application of biological modelling techniques in the development of novel approaches to risk assessment and contribute to external acceptance of these approaches through active publication and external representation.

Responsibilities:

1. Identify risk assessment needs

• Work with toxicology modellers, risk assessors and chemists to identifying toxicology risk assessment needs in the context of biological modelling

• Identify and apply new techniques and approaches

2. Build risk assessment capability

• Lead the application of biological modelling techniques in the development of novel approaches to risk assessment

• Build and develop clear, consistent and transparent models for toxicological risk assessment

• Interact with other modellers across SEAC to promote best practices in modelling and communication

• Provide consultancy, advice and training on analysis and modelling

• Recommend data requirements for the development of new models

• Clear communication of modelling results to non-specialist audiences

3. Build an external profile

• Actively present, publish and liaise with relevant external communities for toxicology modelling

Experience:

• A PhD qualification (or equivalent experience) in the modelling of biology with a first degree in either Mathematics, Statistics, Physics or Engineering

• Experience of applying modelling techniques to solve real-world problems using biological experimental data

• Computational experience of building models and performing analysis using MATLAB, SimBiology, C++ or other relevant programming languages

• Postdoctoral or proven industry experience in mathematical biology, Physiological Based Pharmacokinetic modelling, biophysics, systems biology would be advantageous

Skills:

• Good communication and influencing skills

• Proven experience of working in teams

To find out more about this role and apply, please visit www.unilever.co.uk/careers