QSP Postdoc: AI‑Driven Pharmacology Modeler

BioSpace; Boston (MA); On-site; USD 58,000 - 123,000; Full time

Job summary

Lilly is seeking a highly motivated postdoctoral scientist to join the Global PKPD group, developing Quantitative Systems Pharmacology (QSP) models and applying AI-powered approaches to integrate biology, pharmacology, and data for drug discovery decisions.

The role involves cross-functional collaboration, model-based decision support, and dissemination through conferences and publications, with a two-year fixed-term appointment and potential for extension.

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 pharmacokinetics, target/receptor biology, and cellular or physiological dynamics.
• Perform parameter estimation, model simulations and model analysis to inform drug discovery and development programs.
• Apply the validated model to generate quantitative insights that inform dosing strategies and translational questions.
• Clearly communicate modeling results to technical and non-technical audiences; collaborate cross-functionally.
• Maintain documentation of model development.
• Present findings at scientific conferences (e.g., ACoP, PAGE, ASCPT).
• Author high quality peer‑reviewed scientific articles.

Skills

QSP/PKPD modeling

ODE-based modeling

R

Python

Matlab/SimBiology

NONMEM

Monolix

Parameter estimation

Sensitivity analysis

Education

PhD in quantitative pharmacology / systems biology / biomedical engineering / applied mathematics

Tools

R

Matlab/SimBiology

Python

NONMEM

Monolix

Job description

Lilly is seeking a highly motivated postdoctoral scientist to join the Global PKPD group, developing Quantitative Systems Pharmacology (QSP) models and applying AI-powered approaches to integrate biology, pharmacology, and data for drug discovery decisions.

The role involves cross-functional collaboration, model-based decision support, and dissemination through conferences and publications, with a two-year fixed-term appointment and potential for extension.