Location: The Discovery Center (DISC), Cambridge Biomedical Campus, UK
Salary: Competitive Salary and Benefits!
Introduction to the role:
Are you ready to turn mechanistic models into dose and schedule strategies that protect patients and accelerate development? Join a team of specialist modelers who operate with high visibility and real decision-making influence, shaping clinical strategy across therapy areas. Based at our Discovery Centre in Cambridge, UK, you will work in a dynamic, multidisciplinary environment spanning nonclinical and clinical phases.
About the role:
The Systems Medicine group is seeking a Systems Modeler passionate about using mathematical and computational skills to develop and apply empirical and/or mechanistic models of Pharmacology and Toxicology. The group is under Clinical Pharmacology & Quantitative Pharmacology Department and consists of ~20 mathematical modelers with backgrounds in applied biomathematics, computational biology, and/or biomedical/chemical engineering.
Working in a dynamic, multidisciplinary environment the successful candidate support projects in both non-clinical and clinical phases. The candidate will develop and apply pharmacological mechanistic systems models to contribute to decisions on dose regimens by balancing efficacy and safety via modelling & simulation based on the understanding of the mechanism of action of investigational drugs. The role will include opportunities to develop and apply Quantitative Systems Pharmacology (QSP) and Toxicology (QST) models, including incorporation of virtual populations to support translational decision-making and dose/schedule selection. In addition, the incumbent will develop QSP&T models based on Microphysiological Systems (organ-on-chips and organoids).
To succeed in this role, we believe you have drug development experience and you are a person who enjoys working collaboratively with a variety of key stakeholders and collaborators to identify opportunities, build support and deliver innovative modelling and simulation solutions. Experience or exposure in modalities such as immune cell engagers, antibody-drug conjugates (ADCs), and radioconjugates (RCs) would be valuable.
Main responsibilities:
Develop and apply clinical QSP&T models, including virtual population approaches, to support prediction of efficacy, safety, and dose regimens in clinical development
Stay informed with emerging literature and science in modelling and simulation sciences, including developments in clinical QSP&T models, virtual populations, and digital twin approaches
Essential requirements:
PhD or similar degree in chemical, mechanical or biomedical engineering, physics, applied mathematics or related field
Experience working in the industry and postdoctoral experience in building, validating, and using predictive mechanistic mathematical models for drug development. (Ideally, 4 years of experience).
Excellent understanding of theory, principles and statistical aspects of mathematical modelling and simulation, including numerical methods, parametrization and ODEs.
Hands-on knowledge of modelling with ODEs, Agent-Based Modelling, Statistical and/or Machine Learning modelling, etc
Self-directed, independent, and highly-motivated researcher who excels in a collaborative, multi-disciplinary environment.
Preferred Skills and Qualifications
Why AstraZeneca:
Here you will be recognized as an expert working at the forefront of science, with the visibility and trust to make consequential decisions for patients and the business. We bring unexpected teams into the same room to unleash bold thinking, blending deep quantitative skills with clinical, biology, and safety expertise. Our environment is both supportive and stretching: leaders back smart risk-taking, and we treat setbacks as data to learn from. You will work across multiple therapy areas, in a fast-growing company investing heavily in data and technology, all while anchoring your impact in a clear purpose—advancing medicines that change lives. We value kindness alongside ambition, and we celebrate work that improves how decisions are made for patients.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
So, what’s next?
Are you already imagining yourself joining us? Good, because we can’t wait to hear from you!
Where can I find out more?
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Date Posted
08-Jul-2026
Closing Date
15-Aug-2026
Our 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.
