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Computer Science Research Intern Jobs in Cold Spring Harbor, NY

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

Research areas may include but are not limited to plant diversity, museum curation, molecular ... using a computer, and attending meetings virtually and in person with other people. Interns are ...

The New York Botanical Garden

Science Intern

Bronx, NY · On-site

$17/hr

Research areas may include but are not limited to plant diversity, museum curation, molecular ... using a computer, and attending meetings virtually and in person with other people. Interns are ...

Sleeper

User Research Intern

New York, NY · On-site

$20 - $32/hr

Support research projects and help synthesize findings for the team * Monitor users' app engagement ... Hold a degree in HCI, information sciences, stats, data analytics, human-centered design, or a ...

NOUS RESEARCH

Research Scientist

New York, NY · On-site

Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields * Passion for open source AI and decentralized technologies * Experience publishing research ...

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All JobsComputer Science Research Intern JobsComputer Science Research Intern Jobs in Cold Spring Harbor, NY

Computer Science Research Intern information

See Cold Spring Harbor, NY salary details

$2.2K

$6.8K

$8.2K

How much do computer science research intern jobs pay per month?

As of Aug 12, 2026, the average monthly pay for computer science research intern in Cold Spring Harbor, NY is $6,813.83, according to ZipRecruiter salary data. Most workers in this role earn between $4,675.00 and $8,108.33 per month, depending on experience, location, and employer.

What does a computer science research intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What skills and qualifications are needed to be a computer science research intern?

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.
What cities near Cold Spring Harbor, NY are hiring for Computer Science Research Intern jobs? Cities near Cold Spring Harbor, NY with the most Computer Science Research Intern job openings:
Computer Science Research Intern jobs near you
Infographic showing various Computer Science Research Intern job openings in Cold Spring Harbor, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $81,766 per year, or $39.3 per hour.

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Posted 28 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply