Multicellular systems modeling scientist at Deep Origin

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agent-Based Modeling, Multicellular Systems, Python, Toxicity Prediction, Cellular Simulations, Machine Learning, ODE/PDE-Based Kinetic Models, High-Performance Computing, GPU Computation, Collaboration, Research, Organ Modeling, Spatial Modeling, Coding, Simulation Tools

Industry

Biotechnology Research

Description

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 multicellular systems (i.e., individual cells as agents, interacting with each other and the microenvironment). You will construct multicellular 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. 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. PhD in a relevant quantitative field (Biology, Computer Science, Math, Physics, Engineering, etc.). Experience constructing multicellular models (in any context) from scratch or with agent-based modeling packages. Extensive coding experience in Python. Experience with agent-based/multicellular/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 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 multicellular 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.

Responsibilities

Construct agent-based multicellular 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.