Mathematical Modeller, Oxford-GSK Institute of Molecular and Computational Medicine

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, reporting to the
Oxford-GSK IMCM co-director Professor John Todd and Dr Anna Sher, Director in
Quantitative Systems Pharmacology at GSK, and with oversight from the Oxford-
GSK IMCM Programme Manager.





This position is a unique opportunity to work in a dynamic environment at the
Oxford-GSK IMCM and in close collaboration with Clinical Pharmacology and
Modelling and Simulation department at GSK, one of the leading global
biopharmas, who are at the forefront of the application of model-informed drug
development to clinical trials. You will work closely with members of the
Oxford-GSK IMCM Joint Data Team (including machine learning researchers,
statistical geneticists and data managers), enabling effective use of the
joint data platform.





You will be responsible for the hands-on development, analysis and application
of mechanistic mathematical models that 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, based on available literature, in vitro
imaging and clinical data. You will be tasked with performing simulation
studies to understand both the neurodegenerative disease processes and anti-
sortilin drug pharmacodynamics, and to contribute to generation and testing of
mechanistic hypotheses, and utilisation of Virtual Patients to inform optimal
clinical study design including selection of key biomarkers and optimal
patient subpopulations. You will ultimately be responsible for supporting the
Institute’s scientific and strategic objectives and contribute to developing
the strategic direction of the Oxford-GSK IMCM.





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. You will have 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 also have an understanding of principles and statistical aspects of
mathematical modeling and simulation, including sensitivity analysis and
parameter estimation techniques. Finally you will have interest in learning
new areas of biology, building novel quantitative and computational skills and
sharing learnings as well as excellent written and verbal communication
skills, including the ability to communicate technical concepts to non-
technical audiences.





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
2027 and is funded by the GSK.





Interviews are to be held on 9 April 2024





Only applications received before 12 midday on 11 March 2024 will be
considered. Please quote **171122** on all correspondence.