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Remote | Particle Physics & Nuclear Simulation Expert

Remote / Online - Candidates ideally in
New York City, Richmond County, New York, USA
Listing for: 24-MAG LLC
Part Time, Remote/Work from Home position
Listed on 2026-08-26
Job specializations:
  • Research/Development
    Research Scientist, Physics, AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 60 - 90 USD Hourly USD 60.00 90.00 HOUR
Job Description & How to Apply Below
Position: Remote | Particle Physics & Nuclear Simulation Expert — $60–$90/hour

Specialised Part-Time Consulting Opportunity for Particle and Nuclear Physics Experts

We are sharing a specialised part-time consulting opportunity for particle and nuclear physics experts with graduate-level expertise in computational physics, scientific programming, and research-grade simulation and analysis tools.

This role supports the development of advanced scientific problem-solving tasks based on real computational physics workflows. Selected experts will design original graduate-level problems requiring simulation, numerical analysis, experimental reasoning, and specialised scientific software, then refine those problems through iterative testing.

Key Responsibilities

Computational Physics Problem Design

  • Create original graduate-level problems in particle and nuclear physics
  • Develop tasks based on realistic research and computational workflows
  • Design multi-step problems requiring genuine scientific reasoning rather than straightforward calculation
  • Construct reproducible tasks with clearly defined inputs, outputs, and validation criteria
  • Refine problem difficulty based on testing and feedback

Particle Physics Analysis

  • Develop computational tasks involving particle physics data analysis
  • Work with scikit-hep and related high-energy physics Python tools
  • Design problems involving cross-section calculations and collider observables
  • Develop workflows requiring interpretation of simulated or experimental particle-physics data
  • Apply practical knowledge of numerical and statistical analysis used in modern particle physics

Nuclear & High-Energy Physics Modelling

  • Create tasks grounded in computational nuclear and high-energy physics
  • Develop problems involving interaction models, numerical calculations, and simulation workflows
  • Apply research-level understanding of theoretical and computational methods
  • Design scenarios requiring interpretation of partial numerical or simulated results
  • Incorporate realistic scientific assumptions and constraints

QCD & Renormalisation Calculations

  • Develop problems involving perturbative QCD where relevant
  • Work with renormalisation-group calculations and scale-dependent quantities
  • Create tasks requiring careful interpretation of theoretical assumptions and numerical outputs
  • Evaluate whether computational approaches are physically and mathematically appropriate
  • Incorporate edge cases that test deeper understanding of the underlying physics

Monte Carlo & Collider Workflows

  • Design problems involving Monte Carlo event generation where relevant
  • Apply experience with collider phenomenology and event-level analysis
  • Create tasks requiring strategic simulation choices or parameter exploration
  • Interpret outputs from event-generation and analysis workflows
  • Develop scenarios where efficient experimental or computational planning is required

Scientific Programming & Validation

  • Write computational problem setups, oracle functions, and solution validators
  • Use Python to implement reproducible scientific workflows
  • Verify numerical answers and expected outputs independently
  • Identify solver limitations, numerical edge cases, and implementation failures
  • Document assumptions, parameters, dependencies, and expected results clearly

Problem Testing & Refinement

  • Test computational tasks against advanced AI systems
  • Analyse whether problems appropriately distinguish strong scientific reasoning from superficial pattern matching
  • Identify tasks that are too easy, ambiguous, or computationally impractical
  • Refine prompts, constraints, and expected outputs until the target difficulty is achieved
  • Ensure tasks remain scientifically accurate and objectively assessable

Ideal Profile

  • Master's degree, PhD, or equivalent research experience in Particle Physics, Nuclear Physics, High-Energy Physics, Computational Physics, or a closely related field
  • Strong hands-on experience with computational tools used in particle or nuclear physics
  • Demonstrated proficiency with scikit-hep or comparable specialised scientific software
  • Experience applying computational methods to real research or professional problems
  • Strong understanding of particle physics data analysis, cross-section calculations, or related numerical workflows
  • Knowledge of renormalisation-group methods or perturbative QCD is highly valued
  • Experience with Monte Carlo event generation or collider phenomenology is advantageous
  • Strong Python programming skills
  • Comfortable working in Linux and terminal-based environments
  • Ability to design rigorous computational problems and independently verify their solutions
  • Research publications, open-source contributions, or substantial professional scientific computing experience are highly valued
  • Experience with scientific teaching, problem-set design, or computational reproducibility is advantageous

Engagement Details

  • Part-time independent contractor engagement
  • Fully remote
  • Expected commitment of at least 15–20 hours per week
  • Flexible scheduling based on project requirements
  • Compensation: $60–$90/hour
  • Work involves computational problem design, scientific validation, and iterative task…
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