QSP Postdoctoral Scientist — AI-Driven Pharmacology Modeling

100 Eli Lilly and Company; Boston (MA); On-site; USD 58,000 - 123,000; Full time

Job summary

100 Eli Lilly and Company in Boston, MA seeks a highly motivated postdoctoral scientist to join the Global PKPD group and develop AI-powered Quantitative Systems Pharmacology (QSP) models that integrate deep biological knowledge, pharmacology, and preclinical/clinical data to drive pivotal drug-discovery decisions.

The role involves literature/data compilation, designing mechanistic ODE-based QSP models, parameter estimation, simulations, and cross-functional communication.

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
• Experience in R, Matlab/Simbiology, Python, NONMEM, Monolix or other related software for model development
• Experience with parameter estimation, sensitivity analysis

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) and author peer-reviewed scientific articles

Job description

100 Eli Lilly and Company in Boston, MA seeks a highly motivated postdoctoral scientist to join the Global PKPD group and develop AI-powered Quantitative Systems Pharmacology (QSP) models that integrate deep biological knowledge, pharmacology, and preclinical/clinical data to drive pivotal drug-discovery decisions.

The role involves literature/data compilation, designing mechanistic ODE-based QSP models, parameter estimation, simulations, and cross-functional communication.