Remote Computational Scientist: Molecular Simulations

Azulene Labs; Mississippi; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Significant responsibility early in你的

Job summary

Azulene Labs is seeking a technically oriented researcher to develop and extend physics-based models for molecular and materials simulations. You will translate theory into efficient numerical methods and implement high-performance Python and/or C++ code, with exposure to parallel or accelerator computing.

In a collaborative, fast-moving environment, you will contribute to simulation pipelines, validation, and scaling of new methods while working with senior scientists.

Qualifications

• MS or BS in chemistry, physics, applied physics, materials science, or related field.
• Solid foundation in quantum mechanics, statistical mechanics, and thermodynamics.
• Strong scientific programming skills in Python and/or C++.
• Comfortable working with mathematical models and numerical methods.
• Self-directed, curious, and eager to learn new theory and tools.

Responsibilities

• Implement and extend physics-based models and algorithms for molecular and materials simulations.
• Translate theoretical ideas into efficient, well-tested numerical methods.
• Write high-performance Python and/or C++ code, with exposure to parallel or accelerator computing.
• Contribute to simulation pipelines, validation, and scaling of new methods.
• Work closely with senior scientists in a highly collaborative, fast-moving research environment.

Skills

Python

C++

Numerical methods

Quantum mechanics

Statistical mechanics

Thermodynamics

Self-directed learning

Education

MS or BS in chemistry, physics, applied physics, materials science, or related field

Tools

OpenMP

MPI

CUDA

Job description

Azulene Labs is seeking a technically oriented researcher to develop and extend physics-based models for molecular and materials simulations. You will translate theory into efficient numerical methods and implement high-performance Python and/or C++ code, with exposure to parallel or accelerator computing.

In a collaborative, fast-moving environment, you will contribute to simulation pipelines, validation, and scaling of new methods while working with senior scientists.