Mathematical Modeller

A highly motivated, ambitious Mathematical Modeller is required to develop and analyse mathematical models that focus on the role of sortilin-mediated progranulin-related pathways in neurodegenerative diseases. This position is a unique opportunity to work in a dynamic environment and in close collaboration with Clinical Pharmacology and Modelling and Simulation department with one of the leading global Biopharmas, who are at the forefront of the application of model-informed drug development to clinical trials.

As the Mathematical Modeller you will be part of a multi-disciplinary, science driven team delivering modelling and simulation excellence to drug discovery and development through better understanding of the patterns and mechanisms in neurodegenerative disease. Responsibilities will include development, analysis and application of mathematical models based on available literature, in vitro imaging and clinical data. The newly developed mechanistic models will be a step towards enhanced quantitative understanding of the role of anti-sortilin pathways in increasing the progranulin (PGRN) levels and in regulating downstream pathways affecting neurodegenerative disease progression.

You will develop mathematical models and perform simulation studies to understand both the neurodegenerative disease processes and anti-sortilin drug pharmacodynamics. The insight into pharmacodynamics will contribute to the generation and testing of mechanistic hypotheses, and Virtual Patients will be also used to inform optimal clinical study design including selection of key biomarkers and optimal patient subpopulations. Additionally, there will be an opportunity to identify, suggest and lead development of novel approaches to utilizing in silico quantitative systems pharmacology (QSP) and integrating it with genomic sciences to inform preclinical and clinical neuroinflammatory drug development.

This position represents an exciting opportunity for a professional with a PhD in Applied Mathematics, Mathematical Biology, Engineering, Physics, Computational Biology, Modelling and Simulations, Neuroscience, Pharmaceutical Sciences, or other related discipline, and a demonstrated strong publication record.

Fixed-term contract until 30 September 2027

The successful person will need to work on site for a minimum of 4 days per week