Remote | Physics Research Expert — $80–$115/hour

24-Mag•New York, NY

16h•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for professionals experienced in physics, theoretical modeling, computational modeling, experimental design, scientific data analysis, scientific programming, and structured technical review. This role supports current and upcoming remote consulting opportunities focused on physics-related task development, scientific evaluation, theoretical and computational reasoning, experimental workflow assessment, data interpretation, and high-quality project execution. Selected professionals will apply their physics expertise to review realistic scientific scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based physics workflow tasks.

Requirements

Professional experience in physics, applied physics, computational physics, experimental physics, scientific research, technical analysis, or scientific programming.
Background in one or more areas such as theoretical physics, computational modeling, experimental design, data analysis, optics, condensed matter, astrophysics, particle physics, quantum mechanics, or related scientific fields.
Familiarity with workflows involving mathematical modeling, simulation, experimental methods, data interpretation, scientific reporting, and technical evaluation.
Comfort reading and preparing physics artifacts such as research summaries, equations, models, lab notes, technical reports, datasets, and analytical explanations.
Strong written communication skills.
Ability to work independently in a remote, project-based environment.
A degree or professional background in physics, applied physics, astrophysics, engineering physics, computational science, mathematics, engineering, or a related quantitative field is helpful.
Graduate-level research experience, laboratory experience, scientific publications, or applied technical work is highly relevant.
Equivalent practical experience in physics research, modeling, data analysis, scientific programming, or structured technical review is also valuable.

Nice To Haves

Experience with theoretical and computational modeling, experimental design, scientific data analysis, simulation, or scientific programming.
Familiarity with Python, MATLAB, Mathematica, R, C/C++, simulation tools, laboratory data systems, or domain-specific physics software.
Experience preparing or reviewing technical reports, research summaries, scientific assessments, benchmark tasks, experimental workflows, or analytical documentation.
Background in academic research, national labs, industry R&D, scientific computing, instrumentation, or applied physics environments.
Strong attention to detail in research-heavy, mathematically rigorous, and documentation-focused scientific work.

Responsibilities

Review physics-related materials involving theoretical models, computational methods, experimental design, and scientific reasoning.
Evaluate physics outputs against source materials, research context, mathematical assumptions, and documented review criteria.
Support structured review of research summaries, technical explanations, modeling workflows, experimental scenarios, and scientific reports.
Identify missing assumptions, methodological gaps, unclear reasoning, and expected physics review outcomes.
Review scenarios involving theoretical modeling, computational simulations, experimental data analysis, and quantitative interpretation.
Evaluate technical outputs for accuracy, consistency, clarity, and alignment with physical principles.
Support structured review of equations, calculations, charts, datasets, code-adjacent workflows, and technical documentation.
Prepare clear written explanations for physics conclusions based on source materials and verifiable criteria.
Create or review tasks and deliverables based on real-world physics and scientific research workflows.
Provide domain-specific feedback on scientific accuracy, reasoning quality, data interpretation, and technical communication.
Support evaluation workflows involving model outputs, physics reasoning, research-style problem solving, and computational analysis.
Maintain accuracy, consistency, and professional judgment across submitted work.