Summary

Lead the pharmacometrics (PM) group of ~6 members to support global and/or regional development projects, ensuring all modeling and simulation (M&S) deliverables are based on science with high quality and timeliness.

Responsibilities

• Provide PM expertise and leadership in model-informed drug development (MIDD) setting for all therapeutic areas in clinical study design (including dose rationales), data analyses to learn dose-exposure-response relationships and their variabilities, result interpretations and reporting
• Supervise and work with pharmacometricians and clinical pharmacologists in conducting PK (and/or PD) analysis (e.g., to integrate all regional data and investigate ethnic differences) for regulatory submissions in China
• Engage with management, regional and global (internal and external including regulatory) stakeholders to drive MIDD strategies at project and portfolio levels
• Establish best practices for M&S process activities to seek efficiency. Implement and explore process and data analysis strategies including AI/ML for science/innovation and for productivity
• Guide PM members in career development; coach and train junior members in applying quantitative methods and PK-PD knowledge to clinical projects

Qualifications

• Ph.D./PharmD/MD in relevant disciplines (pharmacometrics, pharmacology, statistics and mathematics) or other equivalent degrees or knowledge/expertise
• Proficiency with data analysis tools such as R and NONMEM, and other software (e.g., MATLAB, Monolix)
• 8+ years of relevant clinical development experience in M&S and clinical pharmacology roles
• Adequate people management experience with proven track records as a coach/trainer
• Excellent communication and negotiating skills with fluent in English (oral and written)
• Decent scientific publication records in peer-reviewed journals in pharmacometrics areas preferred
• Research experience and interest with advanced technologies such as AI/ML preferred

Skills

• In-depth understanding of pharmacometrics (including population analyses, dose-exposure-response, translational, and mechanistic modeling) and their roles in clinical pharmacology and MIDD
• Ability to translate complex quantitative analyses into clear, actionable insights for cross‑functional and senior stakeholders
• Strong scientific judgment, critical thinking, and decision‑making in ambiguous or data‑limited settings e.g. in early development
• Experience of working in global, matrix organizations with high scientific and regulatory standards. Effective management of stakeholders

Date Posted

Closing Date

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.