location: Hammersmith Campus

About the role:

This is an exciting opportunity to join the GSK – Oxford – Imperial Center for Modeling Informed Medicine (MiMeC) and Development of computational and mechanistic models for oligonucleotide-induced nephrotoxicity. This is a unique opportunity for an ambitious researcher to work at the interface of computational physiology, systems biology, and toxicology, developing models that translate experimental and clinical data into mechanistic insight and predictive tools for assessing kidney safety.

This publication is funded by GlaxoSmithKline Research and Development Ltd (GSK) and will form part of the MiMeC Renal theme, which focuses on building quantitative frameworks to improve understanding and prediction of kidney injury and function.

She will work within Professor Steven Niederer’s Computational Physiology Group at the National Heart and Lung Institute at Imperial College London, collaborating closely with scientists and clinicians from Imperial, Oxford and GSK. The role provides opportunities to combine physiological modeling, AI-assisted data integration and simulation to build model-based drug safety and efficacy tools relevant for preclinical and clinical applications.

What we are looking for:

• PhD degree and equivalent experience in biomedical engineering, computational physiology, systems biology, or a related quantitative discipline.
• Experience in mechanistic or multi-scale modeling of biological or physiological systems.
• Knowledge of renal physiology, toxicology, or related pathological processes at the organ level.
• Strong computational and analytical skills, with proficiency in Python or Julia.
• Experience with statistical modelling, parameter estimation, or uncertainty quantification (e.g. Bayesian inference or global sensitivity analysis).
• Interest in translational safety or pharmacology modeling, and desire to engage with industrial and academic collaborators.
• Excellent communication skills and strong publishing record.

desirable:

• Experience integrating experimental, omics or clinical datasets into quantitative models.
• Familiarity with AI/ML methods for model calibration, simulation, or data-driven discovery.
• Previous experience developing open source software and collaborative codebases (e.g. GitHub).

what would you do

• Development and application of multiscale computational models to describe mechanisms of oligonucleotide-induced nephrotoxicity.
• Integration of in vitro, in vivo, and clinical data to link molecular and cellular mechanisms to injury and adaptation at the kidney level.
• Apply statistical and artificial intelligence-based methods to calibrate and validate models and quantify uncertainty.
• Work closely with GSK and Oxford collaborators to align model outputs with preclinical and clinical safety questions.
• Provide open source tools, reproducible code, and high-quality publications.
• Present findings to stakeholders at Imperial, Oxford and GSK and contribute to collaborative project planning.
• Participate in potential short secondments at GSK to test models on industrial datasets and support decision making.

What we can offer you:

• Support you in developing your career to become an independent researcher at a world-leading institution
• Working with the Cardiac Electromechanics research group led by Professor Steven Niederer
• Industry-leading salary and bonus package (including 39 days holiday per year)

More information

He is a Full time, 3 year fixed term role With the possibility of extension.

Please indicate in your supporting statement which job description best matches your background and experience. Candidates will be considered for the appropriate seniority level based on their experience and qualifications.