Computational Mathematician – Scientific Computing

Job not on LinkedIn

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🗽 New York – Remote

🗽 New York – Remote

💵 $60 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 0%

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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24-MAG

WebsiteLinkedInAll Job Openings

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 computational mathematics problems • Build tasks from published papers, public datasets, open-source repositories, or independently designed scenarios • Create multi-step problems reflecting realistic scientific or quantitative workflows • Design tasks with precise, reproducible, mathematically defensible solutions • Develop computational tasks involving matrix methods, numerical solvers, decompositions, and large-scale linear systems • Address numerical stability, conditioning, convergence, computational efficiency, edge cases, and failure modes • Create computational mechanics modelling and simulation tasks involving physical systems, discretisation, and equation solving • Develop computational finance tasks involving simulation, optimisation, pricing, and quantitative risk analysis • Write and validate scientific programming workflows in Python or R • Develop numerical implementations, reference calculations, solution validators, and reproducible automated-testing workflows • Produce authoritative reference solutions and grading criteria • Test tasks against advanced computational systems, analyse failure modes, and calibrate difficulty • Work through Git/GitHub pull-request workflows and Docker-based environments • Respond to automated quality checks and reviewer feedback • Maintain clean, reproducible code and supporting documentation

🎯 Requirements

• PhD required in Mathematics, Applied Mathematics, Computational Mathematics, or a closely related field • Demonstrated depth in at least two of: Numerical linear algebra, Computational mechanics, Computational finance • Strong working proficiency in Python or R • Hands-on experience using programming for mathematical modelling, numerical analysis, simulation, or quantitative research • Comfortable with Git/GitHub • Experience running code in Docker or other containerised environments • Strong understanding of numerical accuracy, computational reproducibility, and scientific validation • Ability to translate advanced mathematical concepts into clearly defined computational problems • Strong written communication and ability to document mathematical assumptions, methods, and solutions precisely • 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