Numerical Methods Research Scientist (Scientific Computing)

We are seeking a Numerical Methods Research Scientist to join Aqemia’s R&D team, focused on the development, analysis, and optimization of numerical methods for physics-based methods that accelerate our drug discovery platform. You will design, implement, improve and validate numerical methods for physical chemistry and statistical mechanics applications.

Requirements

• PhD in Statistical Physics, Theoretical Chemistry, Computational Fluid Dynamics, Computational Mathematics, Numerical Analysis, Mechanical Engineering or any other field that involves large scale computing, numerical methods etc.
• Or 6 years industrial experience in method development, numerics and code optimization.
• Proven experience in numerical method development, implementation and code optimization
• Strong foundation in numerical analysis
• Proficiency in scientific programming in Python and a lower level language such as C++, Fortran and/or with GPU programming
• Ability to rigorously read, implement, and extend algorithms and methods from the literature
• Analytical, collaborative, and solutions-oriented mindset
• Strong coding practices
• Ability to work as part of a team based in both London and Paris

Benefits

• Prime Location with Flexibility
• Strong Financial Backing
• World-Class Interdisciplinary Team
• Expanding Drug Discovery Pipeline