Summary: Deep Origin seeks a Scientist to apply Systems Biology modeling in Quantitative Systems Pharmacology/Toxicology to accelerate drug discovery. Highlights: 1. Accelerate drug discovery through AI-powered tools 2. Construct organ and tissue models connecting molecular interactions 3. Collaborate with international teams on cutting-edge research **Deep Origin** is a biotechnology company accelerating drug discovery through AI\-powered tools. Our platforms simplify R\&D, simulate biology, and empower scientists to solve diseases and extend healthspan. 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. For US applicants: all applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. **Requirements** * 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 Liver, Intestine, Kidney, Blood, and Bone marrow. * Extensive experience in Python (at least 3 years). * Experience with SBML (2 years). * Fluent English for collaboration with an international team. * Be able to work on US time zones when needed. **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.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
