Principal Scientist Quantitative Systems

Role Summary

Principal Scientist, Quantitative Systems Pharmacology (QSP) responsible for developing and applying multiscale computational models of complex diseases to support model-informed drug discovery and development. You will survey literature, identify mechanistic elements and data, analyze internal preclinical and clinical data, and communicate predictions to stakeholders.

Location:

Cambridge, MA.

• Function as part of a team to develop and apply multiscale computational models of complex diseases based on detailed biological mechanistic knowledge to support model-informed drug discovery & development.
• Survey literature to gain understanding of critical physiological processes to be represented, and identify suitable mechanistic elements, data, parameters and assumptions to be included.
• Identify and analyze suitable internal preclinical and clinical data to inform modeling activities.
• Analyze simulation results and identify appropriate strategies to resolve issues pertaining to model performance and accuracy.
• Maintain extensive documentation of model development process, and data analysis.
• Communicate modeling predictions to key stakeholders.

• Required:
  
  PhD in systems pharmacology/biology, computational biology, biomedical engineering, or a related field with a strong record of productivity demonstrated through publications and scientific presentations, with at least 2 years of postdoctoral experience in disease modeling/QSP.
• Required:
  
  Master’s degree with 4+ years of relevant industry experience.
• Required:
  
  Proficiency in mathematical modeling using differential equations.
• Required:
  
  Extensive experience in computational tools such as MATLAB, Julia and R (MATLAB preferred).
• Preferred:
  Experience in drug discovery/development, especially in bioinformatics or pharmacometrics.
• Preferred:
  Knowledge of Immunology.

• Excellent oral and written communication skills.
• Ability to quickly learn pathophysiology in indications of interest, and treatment approaches in immunology.
• Highly motivated, detail-oriented, and independent researcher.
• Able to thrive in a collaborative, multi-disciplinary team environment.
• Strong commitment to on-the-job-training.