24-MAG
2 - 10 employees
🤝 B2B
💼 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.
Computational Chemist – Quantum Chemistry
🔥 0 minutes ago
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24-MAG
2 - 10 employees
🤝 B2B
💼 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.
📋 Description
• Develop original research-level problems in computational and quantum chemistry • Build tasks from published research, public datasets, open-source repositories, or independently designed scientific scenarios • Create multi-step computational and chemical reasoning tasks reflecting realistic research workflows • Design scientifically valid problems with reproducible expected outcomes • Develop tasks involving quantum-mechanical modelling of molecular systems and interpretation of electronic-structure calculations • Incorporate modelling assumptions, approximations, numerical considerations, edge cases, and failure modes • Write and validate computational workflows using Python, R, or another relevant scientific programming language • Develop numerical calculations, simulations, analysis pipelines, reference implementations, and validation scripts • Debug scientific code and numerical inconsistencies while ensuring reproducible, scientifically defensible results • Translate research material into clearly specified computational tasks with defined inputs, outputs, assumptions, and constraints • Produce authoritative reference solutions and supporting calculations • Define precise grading criteria that distinguish correct solutions from plausible but flawed approaches • Test tasks against advanced computational systems, analyse failure modes, and refine prompts, datasets, expected outputs, and difficulty • Work through Git/GitHub pull-request workflows • Run and validate code in Docker-based environments • Respond to automated quality checks and reviewer feedback • Maintain clean, reproducible code and documentation • Collaborate through structured software and research workflows
🎯 Requirements
• PhD required in Chemistry, Physical Chemistry, Theoretical Chemistry, Computational Chemistry, or a closely related field • Demonstrated expertise in both quantum chemistry and computational chemistry • Strong working proficiency in Python, R, or another scientific programming language • Hands-on experience using scientific code for research, simulation, numerical analysis, or molecular modelling • Comfortable with Git/GitHub • Experience working with Docker and containerised computational environments • Strong understanding of reproducible scientific computing • Ability to translate advanced chemistry research into well-defined computational problems • Peer-reviewed publications are highly valued • Prior experience in scientific software development or research engineering is advantageous • Strong written communication and ability to document scientific assumptions, methods, and solutions precisely • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party • H1-B and STEM OPT support is unavailable for this engagement
🏖️ Benefits
• Part-time independent contractor engagement • Fully remote • 20+ hours per week • Initial duration of approximately 6 weeks • Immediate start • Projects may be extended, shortened, or concluded based on project needs and performance
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