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Physics Computer Science Jobs in New York (NOW HIRING)

D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines • Working on complex problems in which analysis ...

D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines • Working on complex problems in which analysis ...

... Science, Computer Programming, Smart Phone Game App Development, Chess, Robotics, Music and Arts ... Instructors will: - Teach advanced Physics lessons (regular, honors and AP) for High School (grades ...

... Science, Computer Programming, Smart Phone Game App Development, Chess, Robotics, Music and Arts ... Instructors will: - Teach advanced Physics lessons (regular, honors and AP) for High School (grades ...

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Physics Computer Science information

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$27

How much do physics computer science jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for physics computer science in New York is $21.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $27.88 per hour, depending on experience, location, and employer.

What kinds of projects or problems do professionals in Physics Computer Science typically work on?

Professionals in Physics Computer Science often work on projects involving simulation of physical systems, large-scale data analysis from experiments, algorithm development for modeling natural phenomena, or creating custom software for research applications. Their daily responsibilities may include coding, running simulations, analyzing complex datasets, or collaborating with physicists and engineers to solve technical challenges. Many roles are highly collaborative, requiring regular teamwork with multidisciplinary research groups, and offer the opportunity to publish findings or contribute to open-source projects. This environment provides substantial opportunities for learning and professional growth, especially for those interested in fields like scientific research, biotechnology, or advanced engineering.

Is physics useful for computer science?

Physics is useful for computer science, especially in areas like computational modeling, simulations, and hardware development. Understanding physical principles can improve the design of algorithms, robotics, and computer systems, making it valuable for roles that involve hardware integration or scientific computing.

What can I do with physics and computer science?

A physics computer science graduate can work in fields such as data analysis, simulation, software development, and research, often applying programming languages like Python, C++, or MATLAB. They may find roles in industries like technology, aerospace, finance, or academia, where skills in algorithms, modeling, and problem-solving are valued.

What is a Physics Computer Science job?

A Physics Computer Science job involves applying computational methods to solve physics-related problems. Professionals in this field use programming, data analysis, and simulations to model physical systems, develop algorithms, and analyze complex datasets. These roles are common in research institutions, engineering firms, and technology companies working on areas like quantum computing, scientific simulations, and machine learning. Knowledge of both physics principles and computer science techniques is essential for success in this interdisciplinary field.

Is physics and computer science a good combination?

Physics and computer science is a strong combination for roles such as physics computer science professionals, as it combines analytical skills, programming, and understanding of physical systems. This interdisciplinary knowledge is valuable in fields like data analysis, simulation, and research, often requiring proficiency in programming languages and scientific tools. Such a background can open opportunities in research institutions, tech companies, and industries focused on scientific computing.

What are the key skills and qualifications needed to thrive in the Physics Computer Science position, and why are they important?

To thrive in a Physics Computer Science role, you need a strong understanding of both physics principles and computer science concepts, typically demonstrated through a relevant degree and experience in scientific computing or data analysis. Familiarity with programming languages such as Python, C++, MATLAB, and tools like simulation software or computational frameworks is often required. Analytical thinking, problem-solving ability, and effective teamwork are crucial soft skills in this interdisciplinary field. These competencies enable professionals to bridge the gap between theoretical physics and practical computational solutions, driving innovation and accurate research outcomes.

Can I make 200K with a computer science degree?

Physics computer science roles, especially in software engineering, data science, or specialized research, can reach or exceed a $200,000 salary with experience, advanced skills, and often in high-demand industries or locations. Achieving this level typically requires several years of experience, proficiency in programming languages, and sometimes advanced certifications or advanced degrees.
What are popular job titles related to Physics Computer Science jobs in New York? For Physics Computer Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Physics Computer Science jobs in New York look for? The top searched job categories for Physics Computer Science jobs in New York are:
Infographic showing various Physics Computer Science job openings in New York as of June 2026, with employment types broken down into 67% Part Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $45,655 per year, or $21.9 per hour.
Quantitative Researcher, Early Career

Quantitative Researcher, Early Career

Aquatic Capital Management

New York, NY

$150K - $200K/yr

Other

Posted 24 days ago


Job description

As a Quantitative Researcher, you will collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies. Our role offers the opportunity to design, implement, and evaluate research systems components using rigorous statistical methodologies. As part of the team, you will gain exposure to diverse research areas, accelerating your expertise in quantitative finance. 

Requirements:

  • A Bachelor's degree (BS) in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines is required.
  • Candidates may have up to 3 years of professional experience or be actively pursuing a BS or MS in these fields, with an expected graduation date in 2026 or 2027. 
  • Demonstrated proficiency in quantitative analysis and problem-solving
  • Proficiency in Python programming 
  • Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research 
  • Successful participation in mathematical competitions is a plus e.g., IMO, Putnam
  • Prior experience in a quantitative role within a trading environment a plus

Desired qualities: 

  • Intellectually curious, creative, and rigorous
  • Willingness to challenge assumptions and revise opinions in the face of compelling evidence
  • Self-motivated and highly productive, with a strong sense of urgency and accountability
  • Willing to take ownership of one's work, working both independently and within a small team
  • Meticulous attention to detail
  • Ability to manage and prioritize multiple threads of work
  • Able to work across disciplines
  • Excellent communication and collaboration skills
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
The base salary for this role is anticipated to be between $150,000 and $200,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.