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 Research Scientist
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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
• Research Task Design: Transform real research workflows into challenging, multi-step benchmark tasks • Technical Implementation: Implement complete reference solutions using Python and notebook environments • Evaluation Criteria & Reference Solutions: Define what distinguishes rigorous research reasoning from plausible but unsupported analysis • Model Output Review: Evaluate AI-generated attempts across computational research tasks • Research Collaboration: Work closely with researchers, task authors, and fellow subject-matter experts
🎯 Requirements
• At least 1 year of experience in an active academic, industry, government, or national-laboratory research role • An MSc or PhD in a STEM field, computational social science, computational humanities, or another research-intensive discipline • Significant experience using Python for analysis, simulation, modelling, or data pipelines • Strong grounding in experimental design, hypothesis testing, and rigorous evaluation • Experience interpreting complex datasets and producing evidence-based conclusions • Working familiarity with Git, IDEs, and Jupyter or Colab notebooks • Strong written communication and technical documentation skills • Ability to work independently through ambiguous and open-ended research problems • Reliable availability for approximately 35 hours per week.
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