Physical Sciences & Computational Research Specialist

Job not on LinkedIn

🔥 1 minute ago

🌐 Turkey, Brazil, +1 more countries – Remote

🇹🇷 Turkey – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔬 Research Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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.