Remote | Particle & Nuclear Physics Benchmark Consultant — $60–$90/hour
About The Position
We are sharing a specialised part-time consulting opportunity for particle and nuclear physics professionals experienced in scikit-hep, HEP Python tools, particle physics data analysis, cross-section computations, renormalization group calculations, perturbative QCD, Python scientific computing, and benchmark evaluation workflows. This role supports current and upcoming remote consulting opportunities focused on particle and nuclear physics problem design, scientific software evaluation, computational physics workflow development, Python-based validation, and high-quality project execution. Selected professionals will design challenging research-grade computational problems, create precise expected outputs, develop validation logic, and refine task difficulty based on structured calibration feedback.
Requirements
- Graduate-level expertise in particle physics, nuclear physics, high-energy physics, theoretical physics, computational physics, or a closely related STEM field
- MS, PhD, or equivalent research experience in a relevant domain
- Hands-on experience using scikit-hep or comparable HEP and particle physics software tools in real research workflows
- Strong Python programming skills for scientific computing, validation logic, and task setup
- Experience writing code that calls scientific software libraries to solve actual particle physics, nuclear physics, or high-energy physics problems
- Ability to understand software edge cases, numerical limitations, and what makes a problem genuinely difficult
- Comfort working independently and iterating on problem designs based on feedback
- Ability to work in Linux, terminal-based environments, or remote compute sandboxes
Nice To Haves
- Experience with Monte Carlo event generation, collider phenomenology, perturbative QCD, event reconstruction, cross-section workflows, or physics data analysis pipelines
- Experience across multiple particle physics, nuclear physics, HEP, or scientific computing tools
- Familiarity with benchmark design, evaluation design, calibration workflows, or technical task validation
- Background in scientific pedagogy, exam design, problem-set creation, or graduate-level technical assessment
- Experience with computational reproducibility, containerized environments, remote compute, or research software packaging
Responsibilities
- Design original graduate-level computational problems grounded in real particle physics, nuclear physics, and high-energy physics workflows
- Create tasks involving particle physics data analysis, cross-section computations, renormalization group calculations, perturbative QCD, or related computational physics methods
- Develop problems that require precise outputs from fully specified computational setups
- Design tasks that test strategic reasoning, physical interpretation, numerical judgment, and careful analysis of partial scientific outputs
- Work with scikit-hep and related HEP Python tools for particle physics data analysis
- Create problems involving collider data analysis, cross-section estimation, perturbative calculations, event-level reasoning, or statistical interpretation of physics outputs
- Evaluate whether tasks require genuine particle or nuclear physics reasoning rather than surface-level computation
- Identify edge cases, software limitations, numerical artifacts, or reasoning traps that make a problem genuinely challenging
- Write Python problem setups, oracle functions, and solution validators
- Refine tasks through calibration feedback until the difficulty reaches the target range
- Create structured evaluation materials that support reproducible scoring and consistent review
- Maintain technical accuracy, reproducibility, and clear documentation across submitted task materials
Benefits
- Remote structure with flexible scheduling
- Competitive hourly compensation
- Weekly payments
- Projects may be extended, shortened, or adjusted depending on scope and performance
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
