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Computer Science Intern Jobs in Cambridge, MA (NOW HIRING)

MutualOne Bank

Help Desk Technician Intern

Framingham, MA · On-site

$16.25 - $21.75/hr

Help Desk Technician Intern Department: Technology Reports to: VP, Director of Information ... Currently enrolled in a computer science, information technology, or related degree program

THE KRAFT GROUP

Information Technology Intern

Foxboro, MA · On-site

$15 - $20/hr

The Kraft Group is seeking an Information Technology Intern in the area of: Helpdesk Support ... Computer Science, Information Technology, or Management Information Systems major * Familiar with ...

RadNet

Intern Software Development

Somerville, MA

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Pursuing a BS or MS in Computer Science, Computer Engineering, or related field * Strong foundation ...

RadNet

Intern Software Development

Somerville, MA

$21 - $27.50/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Pursuing a BS or MS in Computer Science, Computer Engineering, or related field * Strong foundation ...

Deephealth

Intern Software Development

Somerville, MA

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Pursuing a BS or MS in Computer Science, Computer Engineering, or related field * Strong foundation ...

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RadNet

Intern Software Development

Somerville, MA · On-site

$28/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Pursuing a BS or MS in Computer Science, Computer Engineering, or related field * Strong foundation ...

Viridian Therapeutics, Inc.

IT Intern

Waltham, MA · On-site +1

$16.25 - $21.50/hr

The intern will assist with workflow mapping, data cleansing, dashboard creation, license ... Currently enrolled in an undergraduate or graduate program in Data Science, Computer Science ...

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Computer Science Intern information

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How much do computer science intern jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for computer science intern in Cambridge, MA is $20.76, according to ZipRecruiter salary data. Most workers in this role earn between $16.00 and $25.54 per hour, depending on experience, location, and employer.

What is a Computer Science Intern job?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a Computer Science Intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

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

To thrive as a Computer Science Intern, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and basic software development principles, typically backed by ongoing coursework in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes exposure to cloud platforms or coding certifications can be advantageous. Strong analytical thinking, effective communication, initiative, and the ability to work well within a team are valuable soft skills in this role. These skills and qualities ensure that interns can quickly contribute to projects, adapt to new technologies, and collaborate effectively with experienced professionals.

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Computer Science Intern jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Posted 26 days ago

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)