Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis * Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation) * Astrophysics & Cosmology ...
Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis * Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation) * Astrophysics & Cosmology ...
Cost Analyst
San Diego, CA · On-site
$61K - $141K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$61K - $141K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
$61K - $141K/yr
... using Monte Carlo simulation sof t war e such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
$61K - $141K/yr
... using Monte Carlo simulation sof t war e such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst, Senior
$69K - $158K/yr
... using Monte Carlo simulation sof t war e such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst, Senior
$69K - $158K/yr
... using Monte Carlo simulation sof t war e such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst, Senior
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst, Senior
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$69K - $158K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$61K - $141K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Cost Analyst
San Diego, CA · On-site
$61K - $141K/yr
... using Monte Carlo simulation software such as Crystal Ball, and use data science to provide ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Exposure to Monte Carlo simulations / Schedule Risk Assessment process/tools * Ability to ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...
Exposure to Monte Carlo simulations / Schedule Risk Assessment process/tools * Ability to ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...
Exposure to Monte Carlo simulations / Schedule Risk Assessment process/tools * Ability to ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...
Exposure to Monte Carlo simulations / Schedule Risk Assessment process/tools * Ability to ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...
Corporate Development Lead
Mclean, VA · On-site
$99K - $225K/yr
Ability to build complex operating P&Ls and develop Monte Carlo simulations * Master's degree in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Corporate Development Lead
Mclean, VA · On-site
$99K - $225K/yr
Ability to build complex operating P&Ls and develop Monte Carlo simulations * Master's degree in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Data Scientist
Fort George G Meade, MD · On-site
$99K - $225K/yr
Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Data Scientist
Fort George G Meade, MD · On-site
$99K - $225K/yr
Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Overview SUMMARY Larry Flynt's Hustler Casino is a luxurious facility with Monte Carlo-style decor ... Employment Type: PART_TIME
Overview SUMMARY Larry Flynt's Hustler Casino is a luxurious facility with Monte Carlo-style decor ... Employment Type: PART_TIME
Part Time Monte Carlo Simulation information
See salary details
$11K - $21K
0% of jobs
$21K - $31.1K
0% of jobs
$41K is the 25th percentile. Wages below this are outliers.
$31.1K - $41.1K
25% of jobs
$41.1K - $51.2K
5% of jobs
$51.2K - $61.2K
8% of jobs
The median wage is $67.8K / yr.
$61.2K - $71.3K
17% of jobs
$77.8K is the 75th percentile. Wages above this are outliers.
$71.3K - $81.3K
29% of jobs
$81.3K - $91.4K
9% of jobs
$91.4K - $101.4K
3% of jobs
$101.4K - $111.5K
1% of jobs
$111.5K - $121.5K
1% of jobs
$11K
$67.6K
$121.5K
How much do part time monte carlo simulation jobs pay per year?
As of Jun 10, 2026, the average yearly pay for part time monte carlo simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.
What is the difference between Part Time Monte Carlo Simulation vs Part Time Data Analyst?
| Aspect | Part Time Monte Carlo Simulation | Part Time Data Analyst |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Programming | Statistics, Data Analysis, Programming |
| Work Environment | Financial, Insurance, Risk Management | Business, Marketing, Finance |
| Industry Usage | Modeling, Risk Assessment | Data Interpretation, Reporting |
Part Time Monte Carlo Simulation involves creating probabilistic models to assess risks and uncertainties, often requiring advanced statistical and programming skills. Part Time Data Analysts focus on interpreting data sets, generating reports, and supporting decision-making. While both roles require analytical skills and some overlapping credentials, Monte Carlo Simulation is more specialized in modeling complex probabilistic scenarios, whereas Data Analysts handle broader data interpretation tasks.
More about Part Time Monte Carlo Simulation jobs
What cities are hiring for Part Time Monte Carlo Simulation jobs? Cities with the most Part Time Monte Carlo Simulation job openings:
What are the most commonly searched types of Monte Carlo Simulation jobs? The most popular types of Monte Carlo Simulation jobs are:
What job categories do people searching Part Time Monte Carlo Simulation jobs look for? The top searched job categories for Part Time Monte Carlo Simulation jobs are:
$45 - $100/hr
Part-time
Posted 6 days ago
Job description
This role is for one of our clients
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
Requirements
Nice to Have
Engagement Details
Compensation & Payments
Additional Information
Compensation: $45-$100 per hour
We are building a large-scale evaluation benchmark to test advanced AI reasoning across scientific and engineering domains. This role focuses on designing rigorous, research-grade computational problems that assess how effectively AI systems can leverage real scientific software tools to solve complex challenges.
Unlike traditional annotation roles, this position requires creating original, graduate-level problems rooted in real-world scientific workflows. You will iteratively refine these problems through calibration against state-of-the-art AI models, ensuring the right balance of difficulty, depth, and reasoning complexity.
Requirements
What You'll Do
- Design advanced computational problems requiring the use of domain-specific scientific software
- Create tasks that test both precise execution (multi-step workflows, simulations) and strategic reasoning (experiment design, inference from partial data)
- Develop problem setups, solution pathways, and validation mechanisms
- Calibrate and refine tasks based on model performance to achieve target difficulty levels
- Ensure problems emphasize reasoning strategy over brute-force computation
Domains & Tools of Interest
We are particularly seeking candidates with hands-on experience in:
- Bioinformatics & Single-Cell Genomics: scanpy, scvelo, squidpy, gudhi (RNA-seq, trajectory inference, spatial transcriptomics)
- Computational Chemistry: PySCF (HF, DFT, TDDFT, CASSCF, post-HF methods)
- Particle & Nuclear Physics: scikit-hep, Monte Carlo simulations, collider data analysis
- Electrical Engineering: scikit-rf, ngspice (RF systems, circuit simulation)
- Astrophysics & Cosmology: astropy (cosmological modeling, survey analysis)
- Structural & Mechanical Engineering: scikit-fem (finite element analysis, elasticity, beam theory)
- Seismology & Geophysics: ObsPy, SPECFEM (waveform analysis, inversion, tomography)
- Pharmacokinetics & Systems Biology: libRoadRunner, Tellurium, SBML-based tools
Experience with other specialized tools in related domains is also welcomed.
What Makes You a Strong Fit
- Graduate-level expertise (MS or PhD preferred) in a relevant STEM field
- Hands-on experience using scientific software libraries for real research problems
- Strong Python programming skills, including building computational workflows and validators
- Ability to design challenging problems that require deep reasoning rather than surface-level solutions
- Familiarity with edge cases, limitations, and practical challenges of scientific tools
Requirements
- Demonstrated proficiency with at least one relevant scientific library (via research, open-source work, or industry experience)
- Ability to work independently and iterate based on feedback
- Comfort working in Linux/terminal environments and remote compute setups
- Availability of at least 15-20 hours per week
Nice to Have
- Experience across multiple domains or tools
- Background in evaluation frameworks or benchmarking
- Experience in teaching, pedagogy, or problem-set design
- Familiarity with reproducible research practices and containerized environments
Engagement Details
- Independent contractor role
- Fully remote with flexible scheduling
- Project scope may evolve based on performance and research needs
Compensation & Payments
- Competitive compensation based on expertise and domain specialization
- Weekly payments via supported global payment platforms
Additional Information
- Work must not involve sharing confidential or proprietary information from any current or past employer or institution
- Projects may be extended, modified, or concluded based on performance and business requirements
- This opportunity does not currently support certain work authorization categories