Computational Scientist

CFD Research Corporation•Huntsville, AL

11d

About The Position

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.

Requirements

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

Nice To Haves

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

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