CFD Research is seeking a highly skilled Computational Scientist (Multiphysics Simulation) to join our Biotechnology and Life Sciences team, where they will play a central role in developing and extending our in-house multiphysics simulation platform to solve complex, real-world problems. The successful candidate will combine expertise in numerical methods and mathematical modeling with strong scientific software development skills in C++, implementing, testing, and validating solvers within a large, established codebase. In addition to core software development, the candidate will develop, apply, and support computational models and simulations for a range of biological systems and related applications. This role offers the opportunity to work at the intersection of theory, high-performance computing, and application in a collaborative, fast-paced environment focused on innovation and technical excellence.

Key Responsibilities

• Develop, extend, and maintain solvers within our in-house C++ multiphysics simulation platform
• Develop, apply, and support computational models and simulations across a range of biological systems and application areas, including high-resolution and multiscale simulations
• Formulate and derive mathematical models to simulate complex systems and processes
• Implement, analyze, and validate models using appropriate numerical methods and algorithms for solving differential equations, optimization problems, and stochastic systems
• Translate real-world problems into computational frameworks and scalable solutions
• Collaborate with experimental scientists and engineers to integrate modeling with empirical data
• Develop high-performance computing (HPC) solutions and optimize code for efficiency and scalability
• Document methodologies, code, and results
• Maintain best practices in version control, reproducibility, and software development
• Contribute to scientific reports, proposals, and peer-reviewed publications

Qualifications

Required

• PhD with 3+ years of relevant experience (or equivalent) in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related field
• Demonstrated experience developing original mathematical/computational models and simulations for complex systems
• Strong foundation in numerical analysis, linear algebra, differential equations, and/or stochastic modeling, including implementation of numerical solvers (e.g., finite element or finite volume methods)
• Experience developing or applying computational models and simulations of physical or biological systems, with the ability to support a range of modeling and simulation applications
• Familiarity with data analysis and visualization tools
• Strong proficiency in C++ for scientific computing, with the ability to develop, extend, and maintain clean, well-tested code within a large existing codebase, working knowledge of additional languages (e.g., Python, MATLAB, Julia) for analysis and prototyping
• Demonstrated intellectual curiosity and a willingness to learn and apply new methods, tools, and scientific domains as project needs evolve
• Strong analytical, critical thinking, and problem-solving skills with attention to detail
• Excellent written and verbal scientific communication skills, with the ability to convey complex mathematical concepts and collaborate effectively in multidisciplinary teams
• Proven ability to work independently, manage multiple projects, and troubleshoot complex technical challenges

Preferred

• Experience developing or extending large-scale multiphysics or PDE-based simulation software
• Experience developing computational models of biological systems (e.g., in vitro assays, cell-based systems, or other fit-for-purpose preclinical models)
• Background in a domain area such as bioinformatics, infectious disease modeling, fluid dynamics, or materials science
• Experience integrating machine learning with mechanistic models
• Familiarity with version control (e.g., Git) and collaborative software development workflows