<div><b>Position:</b> Senior Scientist, Translational PKPD Modeling & DMPK (Oncology)<br><b>Location:</b> Cambridge, UK<br><b>Salary:</b> Competitive Salary & Excellent Company Benefits<br><br>Do you have a passion for PKPD modeling and DMPK science, applied to Cancer biology? Would you like to apply your expertise to impact the lives of patients in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!<br><br>We currently have an exciting Senior Scientist opportunity for someone who has a passion for PKPD modeling and DMPK science, applied to Cancer biology, ideally with some experience of working with biologics, drug projects to join our team.<br><br><b>About AstraZeneca</b><br>AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we’re more than one of the world’s leading pharmaceutical companies. A place built on courage, curiosity and collaboration – we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team.<br><br><b>Oncology DMPK department</b><br>The Oncology DMPK department provides drug metabolism & pharmacokinetic, as well as translational PKPD modeling & simulation support to our portfolio. Be part of fulfilling our ambition to be world leaders in Oncology. There are countless new indications and targets in our game-changing pipeline. We deliver this value through launch excellence, commercial effectiveness and maximising the lifecycle. By leveraging our commercialised portfolio, we are confident we can change the practice of medicine and redefine cancer treatment.<br><br><b>What You’ll Do</b><br>As a Senior Scientists, Translational PKPD Modeling & DMPK you will have the opportunity to apply your expertise in PKPD modeling and simulation to advance our understanding of cancer biology and accelerate drug discovery. Your day-to-day role is to provide projects with specialist modeling input into exploring the PK/PD/Efficacy in pre-clinical models and using these models to iteratively build an understanding of the dose & schedule requirements for therapeutic intervention across different patient populations as a single agent and combined with other agents.<br><br><b>Key Responsibilities</b><ul><li>Represent Oncology DMPK, providing scientific leadership in cross-functional and external collaborations.</li><li>Develop and utilize PKPD models to explore the effects of target and pathway modulation, defining candidate drug target profiles.</li><li>Predict human dose and regimen, contributing to exposure and pharmacodynamic biomarker-based decision-making for early clinical trials.</li><li>Drive learning through back-translation of clinical exposure and pharmacodynamic data, offering strategic options for future clinical testing.</li><li>Present findings through publications, patents, and lectures, enhancing the visibility of AstraZeneca’s translational research.</li></ul><br><b>What You Bring</b><ul><li>Ph.D. in Modeling & Simulation, systems biology, quantitative pharmacology, pharmacometrics, (chemical) engineering, physics, pharmaceutical sciences, or applied mathematics.</li><li>Relevant industry experience in Modeling & Simulation, ideally in preclinical/translational setting.</li><li>Experience in a project-facing role within pharmaceutical R&D.</li><li>Strong understanding of DMPK and pharmacology in drug discovery.</li><li>Proficiency with tools such as WinNonLin/Phoenix NLME, NonMem, Berkeley Madonna, MATLAB, and SimCYP.</li><li>Excellent interpersonal, communication, and leadership skills, with a passion for collaborative problem-solving.</li></ul><br><i>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.</i></div>