Scientific Computing Expert — Physical Sciences - $300/Approved Task

About this opportunity

Turing is seeking Physical Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. The role involves translating authentic physics, chemistry, materials science, astronomy, and computational science workflows into reproducible benchmark environments, including scientific inputs, computational models, executable solutions, automated tests, and objective grading criteria.

What the listing describes

• ✓Design multi-step terminal 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, or model configurations
• ✓Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools
• ✓Cover simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization
• ✓Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure
• ✓Define appropriate numerical tolerances, units, boundary conditions, and expected scientific behavior
• ✓Validate that tasks are reproducible and execute successfully without runtime downloads
• ✓Debug issues involving dependencies, precision, solver stability, performance, and file formats

Requirements shown on the source

• ✓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 programming language
• ✓Experience working in Linux or terminal-based environments
• ✓Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis
• ✓Ability to create and validate computational scientific workflows independently

Relevant backgrounds mentioned

• ✓Advanced expertise in physics, chemistry, materials science, astronomy, or computational science
• ✓Experience developing reproducible scientific computing environments
• ✓Experience with scientific simulations and numerical modeling
• ✓Experience creating automated tests and objective grading criteria for computational tasks
• ✓Experience evaluating AI agents or AI-generated scientific solutions