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Scientist, Modeling and Optimization at Deep Origin. 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 modeling and numerical optimization specialist with experience working in Systems Biology, Quantitative Systems Pharmacology, and/or Toxicology. You will help to construct simulation and parameter optimization approaches for large-scale systems of biological models, which include mechanistic and machine learning model components, used in whole-human toxicology predictions. Additionally, you will work on efficiently simulating and optimizing the system of models at scale, including using high performance computing and distributed computing frameworks.. Bachelor's or Master's in a relevant quantitative field (Biology, Computer Science, Math, Physics, Engineering, etc.).. Experience in construction and parametrization of biological models, either ML or mechanistic.. Extensive coding experience in Python.. Experience with high-performance computing and/or distributed systems.. Experience with optimization algorithms and numerical considerations.. Experience with classical ML approaches, such as tree-based methods, MLPs, etc.. Responsibilities:. Construct software frameworks for seamlessly connecting, executing, and parametrizing large-scale systems of biological models, ranging from physiological to molecular scale.. Work with the Deep Origins Cellular Simulations team and the wider company to develop interfaces for sub-models at various scales, which represent biological processes relevant to physiology and toxicology, to incorporate into the above framework. . Incorporate interpretable machine learning methods in the system of models, where appropriate, to help capture unrepresented interactions and calibrate to experimental or clinical outcomes.. 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. . Nice to have:. Experience with cellular pathway or organ modeling, for purposes of drug discovery or toxicology.. Experience with creating surrogate models of biological systems, with analytical or ML-based approaches.. Experience with interpretability and sensitivity analysis of mechanistic and machine learning models.. Experience with GPU computation, C, and C++.. Company Location: Bulgaria.