Associate Director leading innovation initiatives for LGBTQ+ health at Penn. Overseeing project execution and sustainability strategies to improve health outcomes.
About the role
- Director, Pharmacometrics at Structure Therapeutics, leading model-informed drug development initiatives. Collaborating across teams to optimize clinical development and inform dosing strategies.
Responsibilities
- Support and help advance model-informed drug development (MIDD) across discovery and development programs.
- Represent Pharmacometrics on cross-functional teams, providing quantitative input to strategy, dose selection, and trial design; influence decisions through data-driven recommendations.
- Plan, execute, and document pharmacometrics analyses (PopPK/PKPD/exposure–response), including models, simulations, and reports.
- Develop and maintain Shiny-based applications to enable data visualization and model-based simulation workflows, with potential integration of AI/ML-enabled features as appropriate.
- Coordinate and oversee external vendors/consultants and review deliverables for quality and timeliness.
- Contribute to pharmacometrics elements of regulatory submissions and health authority responses, with guidance from function leadership.
- Support functional process improvements (e.g., templates, workflows, and modeling infrastructure) and other needs (e.g., due diligence) as assigned.
Requirements
- Advanced degree (PhD, PharmD, MS) in Engineering, Mathematics, Statistics, Pharmaceutical Sciences, or a related field.
- 7+ years of drug development experience in biotech/pharma (or equivalent combination of industry and relevant consulting experience).
- Demonstrated hands-on experience with commonly applied pharmacometric methodologies (e.g., PopPK, PKPD, exposure–response, MBMA/statistical modeling).
- Proficiency with pharmacometrics and data analysis tools such as NONMEM, R, and one or more of Monolix, Phoenix/WinNonlin, Matlab, SAS (as appropriate for role).
- Experience contributing to clinical pharmacology/pharmacometrics deliverables that support regulatory submissions and/or health authority interactions.
- Experience with dataset creation and data assembly/review/visualization in support of modeling deliverables.
- Experience applying AI/ML in drug development preferred.
- Experience supporting small-molecule development preferred; cardiometabolic experience (e.g., T2D/obesity) preferred; PBPK experience using platforms such as Simcyp and/or GastroPlus preferred.
Benefits
- Medical, dental, and vision insurance
- 401k match
- Unlimited PTO
- Paid holidays including winter shutdown
- Annual performance incentive bonus
- New hire equity
- Ongoing performance-based equity
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