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$55

How much do computational modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for computational modeling in Florida is $41.05, according to ZipRecruiter salary data. Most workers in this role earn between $35.05 and $54.95 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In computational modeling, senior roles such as lead data scientist, quantitative analyst, or research scientist with extensive experience and advanced skills in programming, machine learning, and statistical analysis can reach or exceed a $300,000 annual salary. These positions often require advanced degrees, strong domain expertise, and may be found in finance, technology, or research institutions. Compensation varies based on industry, location, and level of responsibility.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling can be a well-paying career, especially for experienced professionals working in industries like gaming, film, or product design. Salaries vary based on skill level, industry, location, and the complexity of projects, with advanced 3D modelers often earning higher wages and working with specialized software such as Blender or Maya.

What is the highest paying job in computational biology?

The highest paying roles in computational biology are often senior positions such as Director of Computational Biology or Principal Scientist, which can earn six-figure salaries. These roles typically require advanced degrees, extensive experience, and expertise in areas like machine learning, bioinformatics tools, and programming languages such as Python or R.

What are the key skills and qualifications needed to thrive in the Computational Modeling position, and why are they important?

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What is a computational modeler?

A computational modeler is a professional who develops and uses computer-based models to simulate complex systems or processes. They often work with programming languages, mathematical algorithms, and data analysis tools to create accurate representations for research, engineering, or scientific purposes.
What are the most commonly searched types of Computational Modeling jobs in Florida? The most popular types of Computational Modeling jobs in Florida are:
What are popular job titles related to Computational Modeling jobs in Florida? For Computational Modeling jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Computational Modeling jobs in Florida look for? The top searched job categories for Computational Modeling jobs in Florida are:
Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $85,378 per year, or $41 per hour.

Research Assistant / Plasma Physics

AMPERA INC

Palm Beach Gardens, FL

$18.25 - $25/hr

Full-time

Posted 14 days ago

Be an early applicant

Job description

Research Assistant Plasma Physics

Position Summary
Ampera is seeking a motivated full-time Research Assistant to support work in plasma physics, computational modeling, and related areas within the Department of Nuclear Engineering. This role is well suited for an early-career researcher with a math, physics, engineering, or other hard science background who is comfortable working with technical material, learning new tools, and contributing carefully to ongoing research projects.
Candidates who have not yet graduated are welcome to apply, provided they are able to commit to full-time work during the school year. Students should be prepared to arrange their academic schedule accordingly, such as by taking time away from coursework or otherwise ensuring full-time availability.
The Research Assistant will help with literature review, data collection and analysis, model setup, simulation workflows, technical documentation, and preparation of research outputs. The specific project assignment will depend on the candidates background and departmental research needs.
Key Responsibilities
Support research activities in plasma physics, fusion energy, low-temperature plasmas, plasma-material interactions, computational plasma modeling, diagnostics, or related technical areas.
Conduct literature reviews and summarize findings for faculty, staff, and research teams.
Assist with computational modeling, simulation setup, data processing, and results analysis.
Help prepare figures, tables, technical notes, presentations, and draft sections of reports or manuscripts.
Maintain organized research records, including assumptions, inputs, scripts, results, and references.
Participate in regular research meetings and communicate progress, blockers, and findings clearly.
Follow all applicable laboratory, computational, export control, and data handling procedures.
Required Qualifications
Current enrollment in, or recent completion of, a degree program in engineering physics, nuclear engineering, physics, mechanical engineering, electrical engineering, materials science, applied mathematics, computer science, or another math, physics, engineering, or hard science field.
Strong analytical and quantitative skills.
Demonstrated first-principles thinking: the ability to break problems down to fundamental physics and reason up from there, rather than relying on convention or analogy.
Ability to read and synthesize technical papers, reports, and documentation.
Clear written and verbal communication skills.
Careful attention to detail and willingness to document work thoroughly.
Ability to work independently while staying aligned with faculty and project guidance.
Preferred Qualifications
Coursework or research experience in plasma physics, fusion energy, electromagnetics, fluid dynamics, kinetic theory, numerical methods, scientific computing, or computational science.
Experience with one or more programming or scripting languages, such as Python, MATLAB, C/C++, Fortran, Julia, or similar.
Familiarity with scientific computing workflows, version control, Linux command-line tools, or high-performance computing environments.
Experience with plasma simulation tools, particle-in-cell methods, magnetohydrodynamics, fluid plasma models, kinetic modeling, Multiphysics simulation, uncertainty quantification, diagnostics, or data analysis.
Prior research experience, including undergraduate research, internship experience, capstone projects, or publication/presentation contributions.
Appointment Details
This is a full-time, ongoing research assistant position during the school year.
Application Materials
Applicants should submit:
Resume or CV
Brief statement of interest describing relevant background and research interests
Unofficial transcript, if applicable
Names and contact information for one to two references, if requested
Optional: writing sample, code sample, poster, publication, or project portfolio