QSP postdoctoral scientist

About the Role

At Eli Lilly and Company, we are seeking a highly motivated, scientifically curious, and collaborative postdoctoral scientist to join the Global PKPD group. This role focuses on developing Quantitative Systems Pharmacology (QSP) models, integrating biological knowledge, pharmacology, and data to drive decisions in drug discovery and development. The position is for a fixed duration of two years with the potential to extend to three years.

Key Responsibilities

• Conduct systematic literature, regulatory, and database searches to compile relevant preclinical and clinical data.
• Design and implement an ODE-based QSP model structure to capture drug pharmacokinetics, target/receptor biology, and cellular/physiological dynamics.
• Perform parameter estimation, model simulations, and model analysis to inform drug discovery and/or development programs.
• Apply validated models to generate quantitative insights for dosing strategies, risk stratification, and translational/clinical development.
• Communicate modeling results to technical and non-technical audiences.
• Collaborate cross-functionally with relevant scientific groups.
• Maintain documentation of model development.
• Present findings at scientific conferences (e.g., ACoP, PAGE, ASCPT).
• Author high-quality peer-reviewed scientific articles.

Requirements & Tech Stack

• PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics, or a related discipline.
• Experience in developing QSP/mechanistic PKPD models or ODE-based models for biological systems.
• Experience with development of virtual patient populations.
• Experience with R, Matlab/Simbiology, Python, NONMEM, Monolix, or other related software for model development.
• Experience with parameter estimation and sensitivity analysis.
• Qualified applicants must be authorized to work in the United States on a full-time basis.

Qualifications

• Knowledge in T cell engager bispecifics and immunology.
• Understanding of PK/PD, pharmacology, drug discovery, and development.
• Enthusiasm for integrating AI/ML tools and emerging technologies into modeling workflows.
• Strong problem-solving skills both independently and collaboratively.
• Excellent time-management and organizational skills.
• Ability to clearly communicate scientific concepts and modeling results to multidisciplinary audiences.
• Strong publication record.