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Gramian Consulting
Gramian Consulting
ConsultingLogisticsMarketing
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.
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Physical Sciences Computational Research Specialist

Design terminal-based AI benchmarking tasks grounded in physics and chemistry workflows for Gramian Consulting. Build reproducible simulations, scientific software environments, and automated validation systems.

BDBangladeshEGEgyptGHGhanaIDIndonesiaINIndiaNGNigeriaRemoteContractMiddleSeniorEnglish RequiredResearch Analyst
C++LinuxPython

Description

  • Design realistic, multi-step terminal tasks modeled on physical-science workflows
  • Build self-contained computational environments with pinned dependencies and scientific software
  • Prepare datasets, molecular structures, simulation settings, experimental measurements, and model configurations
  • Develop expert reference implementations in Python, Bash, C/C++, Julia, or specialized scientific tools
  • Create automated checks for numerical precision, physical validity, convergence, and output format
  • Develop tasks covering simulation, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization
  • Set suitable numerical tolerances, units, boundary conditions, and scientifically expected behavior
  • Confirm workflows are reproducible and run successfully without downloading dependencies at runtime
  • Troubleshoot dependency conflicts, numerical precision issues, solver instability, performance bottlenecks, and file-format problems
  • Record scientific assumptions, expected results, and computational constraints for reviewer use

Requirements

  • Advanced technical training through a Ph.D., postdoctoral work, or equivalent experience in physics, chemistry, materials science, astronomy, computational science, or a related discipline
  • Proficiency with Python, C/C++, Julia, Bash, or another language used for scientific computing
  • Practical experience working in Linux and terminal-oriented environments
  • Applied knowledge of numerical methods, scientific simulation, mathematical modeling, or quantitative data analysis
  • Ability to independently build and verify reproducible computational workflows for scientific use
  • Thorough understanding of measurement units, numerical precision, physical constraints, and reproducibility principles
  • Experience creating, troubleshooting, or validating scientific models and computational workflows

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