
2 - 10 employees
🤝 B2B
đź’Ľ Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
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2 - 10 employees
🤝 B2B
đź’Ľ Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
• Apply first-principles and molecular simulation methods to complex materials-science problems • Develop technically accurate simulation setups and reference analyses • Evaluate assumptions, boundary conditions, convergence choices, and modelling methodology • Develop and evaluate models involving surfaces, interfaces, adsorption, and reaction phenomena • Analyse reaction pathways, transition states, and activation energetics • Design and solve expert-level problems in atomistic and surface modelling • Review AI-generated scientific reasoning for technical accuracy and completeness • Identify errors involving simulation methodology, energetics, structure, or physical interpretation • Rate and rank model outputs against defined scientific criteria • Provide concise written reasoning supporting evaluation decisions • Structure simulation methods, parameters, workflows, and results into organised model-ready data • Develop reference material for scientific training and evaluation • Translate specialised computational knowledge into clear written explanations • Deliver reliable work according to defined project timelines and quality standards
• Experienced computational materials scientist with deep expertise in atomistic modelling, surface and interface science, first-principles simulation, and computational catalysis • Hands-on expertise in atomistic modelling using first-principles or molecular simulation methods • Experience with DFT, ab initio molecular dynamics, classical molecular dynamics, Monte Carlo, or related techniques • Substantial experience modelling surfaces, interfaces, adsorption, or chemical reactions • Familiarity with slab models, surface reconstructions, transition-state analysis, NEB, or microkinetics • Experience with semiconductor-relevant materials or computational heterogeneous catalysis • Strong scientific reasoning and quantitative problem-solving skills • Ability to explain complex computational methodology clearly and concisely • Availability for at least 10 hours per week • Current residence in the United States • A PhD in materials science, chemistry, physics, chemical engineering, or a closely related field is expected • Strong research experience in computational materials science, surface science, or catalysis • Experience with VASP • Familiarity with Quantum ESPRESSO, CP2K, or GPAW • Experience with LAMMPS • Proficiency with ASE, pymatgen, or related computational materials tools • Background in semiconductor materials modelling • Experience in computational heterogeneous catalysis • Expertise in reaction-energy calculations and transition-state modelling • Experience connecting atomistic simulations with experimental or materials-characterisation results • Prior experience with scientific AI evaluation, annotation, or structured technical review
• Flexible weekly hours • Long-term, ongoing engagement • Weekly payments via Stripe or Wise • Remote consulting opportunity • Potential workload of up to approximately 40 hours per week depending on availability and project needs
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