Deep Origin

Deep Origin accelerates drug discovery by combining physics-based modeling with AI to reduce time and risk. Its Balto AI platform provides no-code tools for ligand docking, molecular profiling, and…

AIBiotechnologyDrug DiscoveryMolecular SimulationNo-CodePharmaceuticalsPhysics-Based ModelingPreclinicaldeeporigin.com

Deep Origin

AIBiotechnologyDrug DiscoveryMolecular SimulationNo-CodePharmaceuticalsPhysics-Based ModelingPreclinicaldeeporigin.com

HQSouth San Francisco, US

Team Size98

Open Jobs5

Total Funding$29M

Latest Fundraise2 years ago

Join the Team

Quantitative Systems Pharmacologist / Systems Biology Scientist

RemoteYerevan, AM

Remote • Yerevan, AM

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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.