[Hiring] Quantitative Systems Pharmacologist / Systems Biology Scientist @Deep Origin

Role Description

We are looking to recruit a Scientist with experience applying Systems Biology modeling and concepts in a Quantitative Systems Pharmacology/Toxicology context. You will construct organ and tissue models that connect molecular-level interactions to physiological and toxicological endpoints and outcomes.

Qualifications

• PhD in Bioengineering, Biotechnology, Systems Biology, QSP/PKPD, Systems Pharmacology, etc.
• 2 or more years of postdoctoral or industry experience constructing systems biology and related models in a QSP/QST context, particularly in one or more of the following areas:
  • Liver
  • Intestine
  • Kidney
  • Blood
  • Bone marrow
• Extensive experience in Python (at least 3 years).
• Experience with SBML (2 years).
• Fluent English for collaboration with an international team.
• Ability to work on US time zones when needed.

Requirements

• Nice to have:
  • Deep knowledge of available datasets to inform QSP/QST models.
  • Experience deploying models in an HPC environment.
  • Experience in model parameter optimization.
  • Experience in virtual population generation.
  • Composite model construction, parameterization, and simulation.

Responsibilities

• Construct Systems Biology-oriented QSP/QST models that capture molecular interactions and link these to physiological and toxicological outcomes and phenotypes.
• Work with the Deep Origins Cellular Simulations team and the wider company to interface these models with larger-scale intracellular models and multi-scale models of biological processes relevant to physiology and toxicology.
• Plan and organize work to ensure specific deadlines and milestones are met, coordinating with others to ensure work is correctly aligned and integrated with other efforts.
• Communicate effectively within the company and external teams, updating others frequently on progress and bottlenecks.