QSP Scientist

What you'll do

• Develop multiscale computational models of complex diseases based on detailed biological mechanistic knowledge.
• Identify suitable mechanistic elements, data, parameters, and assumptions by surveying relevant literature.
• Analyze internal preclinical and clinical data to inform and refine modeling activities.
• Assess the functionality, efficiency, and validity of new computational models.
• Analyze simulation results to identify and resolve issues regarding model performance and accuracy.
• Communicate technical modeling materials and predictions to internal and external audiences.
• Maintain extensive documentation of the model development process and data analysis.
• Contribute to the computational infrastructure of the Translational Disease Modeling group.

What we're looking for

• PhD or Master's degree in systems pharmacology, biology, computational biology, systems biology, biomedical engineering, or a related field.
• PhD candidates must have at least 1 year of experience generating disease, mechanistic/multiscale, or QSP models.
• Master's candidates must have at least 4 years of experience generating disease, mechanistic/multiscale, or QSP models in an industry/pharma setting.
• Track record of productivity in mechanistic or QSP modeling as evident with publications (preferred).
• Machine learning experience (preferred).
• Proficiency in mathematical modeling using differential equations and programming in MATLAB, Julia, and R (preferred).
• Knowledge of Immuno-oncology or Neuroscience (preferred).
• Experience in drug discovery/development, especially in bioinformatics or pharmacometrics (preferred).