Agent-based modeling scientist

United States - Remote

Deep Origin

We help scientists cure diseases faster, easier, and more affordably. Streamline computational analysis and make simulating biology easier across your research teams today.

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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 for a Scientist whose role will be applying agent-based modeling approaches to cellular systems (i.e., groups of cells interacting with each other and the microenvironment). You will construct agent-based organ models used to predict relevant organ-level toxicities to known and novel drugs, and work with other members of the cellular simulations team to integrate intracellular and molecular modeling approaches and insights into the agent-based multicellular system.

Requirements

  • PhD in a relevant quantitative field (Biology, Computer Science, Math, Physics, Engineering, etc.).
  • Experience constructing agent-based models (in any context) from scratch or with agent-based modeling packages.
  • Extensive coding experience in Python.
  • Experience with agent-based/multiscale/spatial modeling frameworks and approaches.
  • Fluent English for collaboration with an international team.
  • Ability to work on US time zones when needed.

Nice to have:

  • Experience constructing agent-based biological models.
  • Experience with intestinal or organ modeling.
  • Machine learning experience, and in particular, surrogatizing biological systems
  • Embedding ODE/PDE-based kinetic models into agent-based representations
  • Experience with high-performance computing (multi-node computing, parallel algorithms) and GPU computation

Responsibilities:

  • Construct agent-based organ models for the intestine and liver, utilizing and building on state-of-the-art published models from academia and industry.
  • Be the subject matter expert on agent-based multicellular modeling, ensuring the Cellular Simulations team stays at the forefront of current research.
  • 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. 

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Category: Data Science Jobs

Tags: Biology Computer Science Drug discovery Engineering GPU Machine Learning Mathematics PhD Physics Python R R&D Research

Regions: Remote/Anywhere North America
Country: United States

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