Essential Skills/Experience
PhD in pharmacokinetics, pharmacology, mathematics, or related field, with a focus on model-based PK/PD approaches.
Industry or academic experience in exposure-response modelling such as PK/PD, NLME, PBPK and/or QSP, with hands-on experience using relevant modelling and programming tools (e.g., Phoenix, R, MATLAB, Python, Monolix, NONMEM)
Demonstrated ability to integrate complex data, apply quantitative reasoning, and translate modelling results into recommendations that inform project decisions
Demonstrated scientific leadership and a strong track record of scientific contributions in a relevant area
Experience applying AI and machine learning to quantitative research workflows, for example in data curation, PK/PD modelling or translational modelling
Excellent communication and influencing skills, with the ability to present complex quantitative results clearly to cross-functional teams and senior stakeholders
Desirable Skills/Experience
Experience applying PK/PD modelling in a preclinical or translational setting
Experience developing quantitative modelling strategies across multiple therapeutic modalities such as small molecules, oligonucleotides, peptides, proteins, antibodies or cell and gene therapies
Experience in PBPK modelling using platforms such as Simcyp or PK-Sim
At AstraZeneca, we are driven by results and use our unique blend of science and commercial knowledge to spot opportunities and drive outcomes. We are part of an expansive healthcare ecosystem that connects key players across the entire patient journey. Our patient-first approach informs every decision we make. We are committed to your development and believe that your best is better here. Join us and be part of a global team of curious, collaborative colleagues.
Ready to make your mark? Apply now and be a part of our journey to redefine the future of healthcare! We welcome your application by November 17, 2026.
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