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Computer Science Research Intern Jobs in Philadelphia, PA

The Center for Healthcare Delivery Science is seeking a remote Research Intern to work with Dr. Stephanie Mansse for a temporary, hourly position. This position will assist with active research ...

Position Details Position Information Recruitment/Posting Title Lecturers, Computer Science ... Recently, Rutgers-Camden earned Carnegie classification as an R2 research university due to a high ...

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Computer Science Research Intern information

See Philadelphia, PA salary details

$2.1K

$6.5K

$7.9K

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 Philadelphia, PA is $6,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $4,458.33 and $7,733.33 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 are the most commonly searched types of Computer Science Research jobs in Philadelphia, PA? The most popular types of Computer Science Research jobs in Philadelphia, PA are:
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What cities near Philadelphia, PA are hiring for Computer Science Research Intern jobs? Cities near Philadelphia, PA with the most Computer Science Research Intern job openings:
Infographic showing various Computer Science Research Intern job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $77,976 per year, or $37.5 per hour.

Quantitative Research Internship - PhD: Summer 2027

Susquehenna International Group

Bala Cynwyd, PA โ€ข On-site

Other

Posted 9 days ago


Job description

Quantitative Research Intern

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

What you can expect:

  • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution: Create strategies to execute on modelling ideas under simulated competition
  • Evaluation: Backtest ideas using historical market data and revise strategies
  • Breadth: Explore all aspects of quant work and different areas of Susquehanna's business
  • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

What we're looking for:

  • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.