Physical Sciences Subject Matter Expert | $50/hr Remote

Crossing Hurdles; India; Remote; INR 5,340,000 - 8,009,000; Part time

Job summary

Crossing Hurdles is seeking a Physical Sciences Expert - Terminal Bench for a remote contractor assignment. You will design multi-step terminal tasks, build reproducible computational environments, and apply Python, C/C++, Julia, or Bash to solve advanced physical-science problems.

The role requires a Ph.D. or equivalent, strong programming skills, Linux/terminal experience, and a solid background in numerical methods, modeling, or data analysis.

Qualifications

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

Responsibilities

• Design multi-step terminal tasks based on realistic physical-science workflows.
• Develop self-contained computational environments with pinned dependencies and scientific software.
• Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools.
• Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
• Validate that tasks are reproducible and execute successfully without runtime downloads.

Skills

Python

C/C++

Julia

Bash

Scientific programming

Education

Ph.D./Postdoctoral experience

Tools

Linux

Terminal environments

Job description

Position: Physical Sciences Expert - Terminal Bench

Type: Contractor assignment

Compensation: $50 per hour

Location: Remote

Commitment: 20-30 hrs/week

Role Responsibilities

• Design multi-step terminal tasks based on realistic physical-science workflows.
• Develop self-contained computational environments with pinned dependencies and scientific software.
• Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools.
• Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
• Validate that tasks are reproducible and execute successfully without runtime downloads.

Requirements

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