# Physical Sciences & Computational Research Specialist

**Company:** [Gramian Consulting Group](https://jobs.workable.com/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

[Apply for this job](https://jobs.workable.com/view/2602dbf7-2b55-4f72-abce-487a5e3414ec)

## Description

**About Gramian**  
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**About the Role**

We are looking for a **Physical Sciences expert** to develop realistic, terminal-based scientific tasks for an AI benchmarking project. You will translate authentic workflows across **physics, chemistry, materials science, astronomy, computational physics, and computational chemistry** into reproducible environments that test whether AI agents can reason through scientific problems, use command-line tools, debug calculations, and produce reliable scientific outputs.

The role combines **scientific expertise, programming, simulation, and computational workflow design**, with a strong focus on numerical accuracy, physical consistency, reproducibility, and objective evaluation.

**Core Domains**

-   Physics
-   Chemistry
-   Materials Science
-   Computational Physics
-   Computational Chemistry
-   Astronomy
-   Thermodynamics
-   Quantum Mechanics
-   Statistical Mechanics
-   Materials Modeling

**Key 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 reference solutions using **Python, Bash, C/C++, Julia**, or domain-specific 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 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, numerical precision, solver stability, performance, and file formats.
-   Document scientific assumptions, expected behavior, and computational limitations for reviewers.

## Requirements

-   Ph.D., postdoctoral experience, or equivalent advanced technical experience in **physics, chemistry, materials science, astronomy, computational science**, or a related field.

-   Strong programming skills in **Python, C/C++, Julia, Bash**, or another scientific programming language.
-   Experience working in **Linux or terminal-based environments**.
-   Hands-on experience with numerical methods, scientific modeling, simulations, or quantitative data analysis.
-   Ability to independently create and validate reproducible computational scientific workflows.
-   Strong understanding of **units, numerical precision, physical constraints, and scientific reproducibility**.
-   Experience developing, debugging, or validating scientific computational models or workflows.