Physical Sciences Expert Terminal Bench

Crossing Hurdles; United States; Remoto; USD 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

Crossing Hurdles seeks a highly skilled scientific programmer to design multi-step terminal-based tasks and develop self-contained environments with pinned dependencies and scientific software. You will generate datasets, molecular structures, and model configurations, and implement solutions using Python, C/C++, Julia, or domain-specific tools.

You will also create automated tests for numerical accuracy, physical consistency, and convergence, and develop tasks involving simulations, data

Competenze

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline.
• Strong programming skills in Python, C/C++, Julia, Bash, or another scientific language.
• Experience working in Linux or terminal-based environments.
• Experience with numerical methods, scientific modeling, simulations, or quantitative scientific data analysis.

Mansioni

• Design multi-step terminal-based tasks based on realistic physical-science workflows.
• Develop self-contained computational environments with pinned dependencies and scientific software.
• Create input datasets, molecular structures, simulation parameters, experimental data, and model configurations.
• Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific scientific tools.
• Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
• Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
• Define numerical tolerances, units, boundary conditions, and expected scientific behavior.
• Validate that tasks are reproducible and execute successfully without runtime downloads.
• Debug dependencies, precision, solver stability, performance, and file-format issues.

Conoscenze

Python

C/C++

Julia

Bash

Linux

Formazione

PhD or equivalent

Strumenti

NumPy

SciPy

pandas

matplotlib

SymPy

JAX

Descrizione del lavoro

Role & responsibilities

• Design multi-step terminal-based tasks based on realistic physical-science workflows.


• Develop self-contained computational environments with pinned dependencies and scientific software.


• Create input datasets, molecular structures, simulation parameters, experimental data, and model configurations.


• Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific scientific tools.


• Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.


• Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.


• Define numerical tolerances, units, boundary conditions, and expected scientific behavior.


• Validate that tasks are reproducible and execute successfully without runtime downloads.


• Debug dependencies, precision, solver stability, performance, and file-format issues.

Preferred candidate profile

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline.


• Strong expertise in Physics, Chemistry, Materials Science, Computational Physics, Computational Chemistry, Astronomy and Cosmology, Thermodynamics, Quantum Mechanics, Statistical Mechanics, or Materials Modeling.


• Strong programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.


• Experience working in Linux or terminal-based environments.


• Experience with numerical methods, scientific modeling, simulations, or quantitative scientific data analysis.


• Ability to independently create and validate computational scientific workflows.


• Strong understanding of units, numerical precision, physical constraints, and scientific reproducibility.


• Familiarity with scientific libraries such as NumPy, SciPy, pandas, matplotlib, SymPy, or JAX is preferred.