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Computational Modeling Jobs in Manhattan, NY (NOW HIRING)

Arcadis

Computational Designer

New York, NY · On-site +1

$22.50 - $27.25/hr

Build computational models for various projects Build, maintain and improve computational workflows and products across the firm Work interoperably between many different platforms and formats ...

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Computational Modeling information

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How much do computational modeling jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for computational modeling in Manhattan, NY is $60.62, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $81.20 per hour, depending on experience, location, and employer.

What is computational modeling?

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.

What does a computational modeler do?

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 are the key skills and qualifications needed to thrive in computational modeling?

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 are popular job titles related to Computational Modeling jobs in Manhattan, NY?

For Computational Modeling jobs in Manhattan, NY, the most frequently searched job titles are:

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Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in Manhattan, NY as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,089 per year, or $60.6 per hour.

Computational Chemist, Thermodynamics (Founding Team)

Riven Systems

Manhattan, NY • On-site

$160 - $200/hr

Other

Posted 4 days ago

Job description

About Riven

Our mission is to leverage fundamental science and the exponential growth of computational power to revolutionize industrial chemistry. We are integrating autonomous laboratories, computational modeling, and AI to systematize the design, de-risking, and deployment of new chemical capabilities. Our work is deeply interdisciplinary and closes the loop between fundamental physics and industrial deployment.

We are starting with critical minerals because they underpin virtually every facet of modern life—including energy infrastructure, compute architecture, and defense systems-and are at the heart of a generational effort to reindustrialize the west. We intend to dramatically reduce the time and cost required to scale new mineral processing capacity.

About the role

As a Computational Chemist you will transform thermodynamic first-principles into high-fidelity predictions of industrial scale behavior. You will work closely with experts in hydrometallurgy, process modeling, machine learning, and autonomous experimentation to build thermodynamic models of unprecedented accuracy.

Riven is hiring a lean, interdisciplinary team and experience spanning multiple roles is welcome. Apply to whichever role is closest to your skillset.

Initial Responsibilities

  • Own Riven's thermodynamic description of aqueous electrolyte and mineral systems.

  • Design a multi-framework thermodynamic modeling architecture that merges ML and EoS approaches.

  • Build an automated pipeline for regressing thermodynamic parameters against experimental data.

  • Develop thermodynamic design-of-experiments approaches for optimally driving our automated lab.

  • Connect the thermodynamics into multi-scale process models.

Qualifications

  • Ph.D. in Chemistry, Chemical Engineering, Materials Science, Geochemistry, or a related field, or equivalent industry experience.

  • Deep experience with solution thermodynamics in at least one framework (Pitzer, e-NRTL, MSE, SAFT, HKF, etc.), and understanding of the tradeoffs between them.

  • Experience regressing thermodynamic parameters against experimental data, including critical assessment of the underlying measurements.

  • Working familiarity with hydrometallurgical or comparable unit operations, and with heat and mass balance analysis.

  • Comfortable with the tools and processes for building large software systems.

  • Clear interdisciplinary communication and the curiosity to quickly learn and execute in new domains.

  • Ability to prioritize, execute, and collaborate with a high degree of agency, a willingness to be wrong, and the ambition to build something that has never existed before.

  • Trust, humor, rigor, and an excitement to work in a scrappy, interdisciplinary early-stage environment.

Bonus Points

  • Background in critical minerals, mineral processing, or aqueous geochemistry.

  • Experience working with f-block elements.

  • Experience with process modeling and flowsheet development.

  • Bayesian calibration, uncertainty quantification, or optimal experimental design.

  • Experience working alongside automated or high-throughput experimentation.

  • Published thermodynamic assessments, or contributions to open-source thermodynamic tooling.

Compensation

The base salary range for this role is $160,000 - $200,000 per year.

Compensation decisions are made based on track-record, seniority, and skill set. Additional consideration can be given to candidates with exceptional experience.

We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.

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