Senior Mechanistic Mathematical Modeller, Oxford-GSK IMCM

We have a unique opportunity for a Senior Mechanistic Mathematical Modeller to
work in a dynamic environment at the Oxford-GSK Institute of Molecular and
Computational Medicine (IMCM) and in close collaboration with Clinical
Pharmacology and Modelling and Simulation department at GSK, one of the
leading global biopharmas at the University of Oxford.





The Oxford-GSK IMCM is built around Fellows and Oxford-GSK project teams
located across different departments within the Medical Sciences Division.
Projects will initially focus on neurodegeneration and the central nervous
system, specifically Alzheimer’s disease, Parkinson’s disease and amyotrophic
lateral sclerosis but it is anticipated the range of activities will expand
into other research areas in future.





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.





It is essential that you hold a relevant PhD/DPhil in Applied Mathematics,
Mathematical Biology, Engineering, Physics, Computational Biology,
Pharmaceutical Sciences, or other related discipline, together with training
or previous experience in building differential equation-based models of
physiological pathways or biological systems, quantitative systems
pharmacology (QSP), quantitative systems toxicology (QST), semi-mechanistic
pharmacodynamic (PD) or physiologically-based pharmacodynamic (PBPK) models.
You will have demonstrated ability to perform mathematical calculations,
computational simulations, complex data analysis and also demonstrated hands-
on knowledge of modelling and simulation software tools such as MATLAB, C++,
R, Julia, Python, Monolix or other. The understanding of principles and
statistical aspects of mathematical modeling and simulation, including
sensitivity analysis and parameter estimation techniques is essential for this
role.





Applications for this vacancy are to be made online and you will be required
to upload a supporting statement and CV as part of your online application.
Your supporting statement must explain how you meet each of the selection
criteria for the post using examples of your skills and experience.





This position is offered full time on a fixed term contract until 30 September
2028 and is funded by GSK.





Only applications received before 12 midday on Monday 20 November 2023 will be
considered. Interviews will be held on Wednesday 6 December 2023.





Please quote **168653** on all correspondence.