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How much do scientific computing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for scientific computing in New York is $34.44, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $43.94 per hour, depending on experience, location, and employer.

What is scientific computing?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What does someone working in scientific computing do?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in scientific computing?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What are the most commonly searched types of Scientific Computing jobs in New York?

The most popular types of Scientific Computing jobs in New York are:

What are popular job titles related to Scientific Computing jobs in New York?

For Scientific Computing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Scientific Computing jobs in New York look for?

The top searched job categories for Scientific Computing jobs in New York are:

Scientific Computing jobs near you
Infographic showing various Scientific Computing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $71,630 per year, or $34.4 per hour.

Quantum Computing Research Scientist - Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$120 - $180/hr

Other

Re-posted 12 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

Join a world-class team at the frontier of quantum computing, where your research directly shapes the future of financial technology. At JPMorganChase, you will have the resources, partnerships, and scale to turn theoretical breakthroughs into real-world impact. This is a rare opportunity to grow your career at the intersection of cutting-edge science and one of the world's most influential financial institutions.

As a Quantum Computing Research Scientist in the Global Technology Applied Research team, you will work across the full spectrum of quantum computing — from foundational theory and numerical simulation to hardware experimentation and financial applications. You will collaborate with leading hardware partners and internal stakeholders to tackle some of the most complex computational challenges in finance. We value intellectual curiosity, rigorous thinking, and the ability to bridge deep technical expertise with meaningful, real-world impact.

Job responsibilities
  • Lead original research in quantum computing spanning algorithms, error correction, compilation, simulation, or financial applications, and publish results in top-tier academic venues
  • Collaborate with quantum hardware partners to design and execute experiments on partially and fully fault-tolerant quantum devices
  • Partner with lines of business to identify, formalize, and solve high-value computational problems using quantum and advanced classical methods
  • Develop and maintain scientific software for algorithm development, circuit compilation, simulation, and benchmarking
Required qualifications, capabilities, and skills
  • Ph.D. in computer science, physics, mathematics, or a related field with a research focus in quantum computing
  • Strong publication record in at least one of the following: quantum algorithms, quantum error correction, quantum complexity theory, quantum simulation, or computational finance
  • Proficiency in Python, C++, or Julia
  • Clear written and verbal communication skills with the ability to convey technical concepts to both specialist and non-technical audiences
Preferred qualifications, capabilities, and skills
  • Experience with scientific computing and numerical methods
  • Familiarity with quantum error‑correcting codes — including surface, color, or other topological codes — and fault-tolerant circuit design
  • Knowledge of quantum algorithms applied to financial problems such as optimization or risk analysis
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