Computational Scientist

About CFD Research

Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative component/system technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. Based in Huntsville, Alabama where laboratory facilities and headquarters are located, CFD Research also has office and laboratory facilities in Dayton, Ohio, prototyping test and evaluation facilities in Hollywood, Alabama, and office facilities in Fort Walton Beach, Florida.

CFD Research is an ISO
9001:

AS9100D registered company and is appraised at CMMI Level II for Services.
CFD Research is a 100% ESOP (employee-owned company) recognized in Inc. Magazine's Inc
5000 as a top growing company for four of the last five years. Learn more at

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.

• 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

• 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

• Experience developing or extending…