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How much do internship research physicist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for internship research physicist in the United States is $94,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Research Physicist, and why are they important?

To thrive as an Internship Research Physicist, you need a solid grounding in physics concepts, analytical thinking, and experience with scientific research methods, typically supported by coursework in physics or a related field. Familiarity with data analysis software (such as MATLAB or Python), laboratory equipment, and possibly simulation tools is often required. Strong problem-solving abilities, effective communication, and teamwork make interns stand out in collaborative research environments. These skills and qualities are crucial for contributing meaningfully to research projects and gaining valuable hands-on experience in scientific investigation.

What are internship research physicists?

Internship research physicists are students or recent graduates who participate in temporary research positions, typically within universities, laboratories, or industry settings. They assist experienced physicists with ongoing research projects, conduct experiments, analyze data, and sometimes contribute to scientific publications. These internships provide valuable hands-on experience and exposure to real-world scientific investigations, helping interns build practical skills and expand their knowledge in the field of physics. The role may vary depending on the specific area of research and the institution hosting the internship.

What types of projects and research topics can an Internship Research Physicist expect to work on?

As an Internship Research Physicist, you can expect to participate in a range of projects that support ongoing research within your host institution or laboratory. These projects may include data analysis, running simulations, assisting with experimental setups, or conducting literature reviews on emerging topics in physics. Often, interns collaborate closely with experienced physicists, postdoctoral researchers, and graduate students, gaining hands-on experience and exposure to advanced research methods. The specific research topics will vary depending on the institution's focus, but commonly include areas such as condensed matter physics, particle physics, or applied physics. This experience offers valuable insight into the daily workflow of research teams and can pave the way for future graduate study or professional advancement.
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Internship Research Physicist jobs near you

Graduate Quantitative Developer

DeepFin Research

Manhattan, NY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
DeepFin Research is a systematic proprietary trading firm focused on integrating deep learning with quantitative research methods and advanced trading technology. They are seeking a Junior Quant Developer to help productionise research into high-performance trading systems, collaborating closely with Quant Researchers and senior engineers to convert Python code into production C++ and improve backtesting infrastructure.
Responsibilities:
• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.
Qualifications:
Required:
• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.
Company:
DeepFin Research deploys ML driven systematic models across the Global financial markets. Founded in 2022, the company is headquartered in Valletta, MLT, with a team of 11-50 employees. The company is currently Early Stage.

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