Multicellular systems modeling scientist

Deep Origin; United Kingdom; On-site; GBP 45,000 - 70,000; Full time

Job summary

A biotech company in the United Kingdom seeks a Scientist to develop agent-based multicellular organ models. The ideal candidate has a PhD in a quantitative field and extensive experience in Python and multicellular modeling. Responsibilities include constructing models for the intestine and liver and ensuring research alignment with current trends. Strong English communication is essential for collaboration. This role offers a chance to be at the forefront of innovative drug discovery efforts.

Qualifications

• PhD in a relevant quantitative field (Biology, Computer Science, Math, Physics, Engineering).
• Experience constructing multicellular models from scratch or using agent-based modeling packages.
• Fluent English for collaboration with an international team.

Responsibilities

• Construct agent-based multicellular organ models for the intestine and liver.
• Be the subject matter expert on agent-based multicellular modeling.
• Plan and organize work to meet deadlines and milestones.
• Communicate progress and bottlenecks effectively.

Skills

Python coding

Multicellular modeling

Agent-based modeling

English fluency

Education

PhD in a relevant quantitative field

Job description

Overview

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.

Role

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.

Requirements

• 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.