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A biotechnology company is seeking a Quantitative Systems Pharmacologist to develop and validate Genome-Scale Metabolic models for mammalian systems. Candidates should have a PhD in a related field, alongside strong Python skills and experience with SBML. This role caters to professionals passionate about utilizing advanced modeling techniques to understand toxicological responses. It offers a dynamic work environment fostering collaboration and knowledge sharing.
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 constructing and applying Genome-Scale Metabolic models (GEMs) to mammalian systems. You will construct and validate GEMs across a range of cell and tissue types, and work with other members of the Cellular Simulation team to integrate them into larger composite models, with the aim of understanding and predicting toxicological responses.
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