Director, Quantitative Systems Pharmacology

What you'll do

• Build and guide mechanistic QSP and QST models and simulations to understand disease, drug action, and trial design.
• Define and coordinate QSP/QST and clinical pharmacology development strategies, integrating evidence across disease programs.
• Collaborate with cross-functional and external experts, advise leadership, and communicate research through scientific publications.

What they ask for

• PhD, MD, or PharmD, with experience in mechanistic modelling and simulation and systems biology applied to pharmaceutical R&D.
• At least 7 years in mechanistic mathematical modeling, inverse problem modeling and simulation, and/or scientific machine learning applied to preclinical or clinical drug-development questions.
• Experience working with senior stakeholders in a cross-functional environment.
• Track record implementing Model-Informed Drug Discovery and Development (MIDD) approaches.

Nice to have

• Prior experience in Hepatology, Respiratory and/or Cardiometabolic diseases.
• Ability to collaborate effectively, communicate, exercise sound judgment, and adapt priorities in complex situations.

Pay

$188,100 to $313,500 USD annual base salary

Tools

QSP, QST, scientific ML, AIML, inverse-problem modelling, Model-Informed Drug Discovery and Development (MIDD)

AI focus

Use scientific machine learning and AIML alongside mechanistic modeling to improve model development and support drug-development decisions.