QSP postdoctoral scientist

Position Overview

We are seeking a highly motivated, scientifically curious, and collaborative postdoctoral scientist to join the Global PKPD group working on developing Quantitative Systems Pharmacology (QSP) models. As a hands-on QSP scientist, you will work alongside experienced mentors and cross-functional teams to develop and apply AI-powered QSP models that integrate deep biological knowledge, pharmacology, and preclinical and clinical data to drive pivotal decisions in drug discovery and development.

Primary Responsibilities

• Conduct systematic literature, regulatory, and database searches to compile relevant preclinical and clinical data needed to inform model design and parameterization.
• Design and implement an ODE-based QSP model structure that mechanistically captures the relevant drug pharmacokinetics, target/receptor biology, and cellular or physiological dynamics underlying the project's research question.
• Perform parameter estimation, model simulations and model analysis to inform drug discovery and/or development programs in a timely manner.
• Apply the validated model to generate quantitative insights that inform dosing strategies, risk stratification, or other translational and clinical development questions.
• Clearly 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.

Basic Qualifications

• PhD in quantitative pharmacology, systems biology, biomedical engineering, applied mathematics or related discipline
• Experience in developing QSP/mechanistic PKPD models or ODE-based models for biological system
• Experience with development of virtual patient populations
• Proficiency in R, Matlab/Simbiology, Python, NONMEM, Monolix or other related software for model development
• Experience with parameter estimation, sensitivity analysis
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Skills/Preferences

• 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; thrives in a dynamic, fast-paced environment
• Ability to clearly communicate scientific concepts and modeling results to multidisciplinary audiences
• Strong publication record

Additional Information

This position is not permanent. It is for a fixed duration of two years with potential to extend to 3 years. You will have opportunities to apply for full-time positions after your duration is complete.