Quantitative Systems Pharmacology Internship
Quantitative Systems Pharmacology Intern
Cambridge
The objective of the project will be to assist in the development and testing of our platform for MRI-informed modelling prediction of drug penetration in solid tumors, which will be developed as a collaboration between the Systems Medicine and Integrated Bioanalysis teams.
Data extracted from non-invasive MRI imaging will be used to parametrize transport properties of therapeutic antibodies for anti-cancer therapy, and build spatial mathematical models of solid tumors, to optimize dosing decision in anti-cancer therapies.
We are seeking a candidate with a keen interest in numerical simulations of mathematical models applied to biology.
- Review the relevant literature
- Extract, and processing and visualizing data from MRI imaging and/or spatial transcriptomics.
- Assistinthedevelopment/implementation of spatialmathematicalmodels drug biodistribution in tumor
- Report results and prepare presentations to communicatewithrelevantscientific teams within AZ
- Solidunderstanding, at advancedundergraduate level or above, of multivariate calculus and linear algebra;
- Basic coding proficiencyin at least one of the following: Python (preferred), Julia, Matlab, R, C/C++
- Somepreviousexposuretonumerical methods for partialdifferentialequations (PDEs), for example diffusion, diffusion-reaction and advection-diffusion-reaction problems.
- Somepreviousexposureto analysis of 3D spatial data.
#Earlytalent
Date Posted
26-Jan-2026Closing Date
09-Feb-2026Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
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