Job ID R-255830
Date posted 07/03/2026
The ideal candidate will have strong background in pharmacokinetics and translational modeling. You will participate in implementing innovative and quantitative approaches to advance clinical drug development. Developing, qualifying, and applying mechanistic PBPK models using in vitro, preclinical, clinical, and literature data to support clinical development decisions across therapy areas. In addition, you will have opportunities to contribute to broader areas within Clinical Pharmacology & Quantitative Pharmacology (CPQP) as per your experience, interests, and expertise dictate.
Typical Accountabilities
Utilize physiologically-based pharmacokinetic (PBPK) and translational modeling tools to enable clinical PK projections for drug-drug interactions (DDIs), pediatric and other specific populations, and other clinical development questions
Develop fit-for-purpose, qualified PBPK models suitable for internal decision-making and regulatory use, including support for submission documentation and health authority interactions. Communicate clearly and effectively both internally and externally on topics related to PBPK clinical DDI and pediatric and other specific populations predictions
Education, Qualifications, Skills and Experience
Essential
Experience using PBPK platforms such as Simcyp, GastroPlus, or PK-Sim, together with scripting in R and/or Python for data analysis, visualization, and workflow automation.
Familiarity with AI-enabled scientific workflows, such as literature mining, coding assistance, or document summarization in compliant research environments
Good knowledge in pharmacokinetics, drug-drug interactions, regulatory guidance in clinical pharmacology, modelling and simulation sciences
Desirable
Date Posted
03-jul-2026
Closing Date
16-jul-2026
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 authorization and employment eligibility verification requirements.