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Scientific Computing Internship Jobs in Massachusetts

QuEra Computing, Inc.

Scientific Intern

Boston, MA

$16.25 - $21.75/hr

Quera Computing is actively seeking a summer intern soon to enter university for an internship role supporting our Scientific teams with a variety of support projects and initiatives. Prefer: sound ...

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

This is a paid six month internship/co-op. The position is based at the Dassault Systemes Office at ... Experience with Python and scientific computing libraries. Shape your career with 3DS! #WeAre3DS ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

... Data Science teams * Inform your ML infrastructure decisions using your understanding of ML ... distributed computing (Internship experience does not apply) * At least 4 years of experience ...

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Scientific Computing Internship information

What types of projects might I work on during a scientific computing internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build both technical and teamwork skills which are valuable for future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a scientific computing intern, and why are they important?

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

What is a scientific computing internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.

What are the most commonly searched types of Scientific Computing jobs in Massachusetts?

The most popular types of Scientific Computing jobs in Massachusetts are:

What are popular job titles related to Scientific Computing Internship jobs in Massachusetts?

For Scientific Computing Internship jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Scientific Computing Internship jobs in Massachusetts look for?

The top searched job categories for Scientific Computing Internship jobs in Massachusetts are:

What cities in Massachusetts are hiring for Scientific Computing Internship jobs?

Cities in Massachusetts with the most Scientific Computing Internship job openings:

Scientific Computing Internship jobs near you
Infographic showing various Scientific Computing Internship job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Internship - Research & Development

QuEra Computing, Inc.

Boston, MA • On-site

Internship

Re-posted 23 days ago

Job description

Summary
The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms.
Responsibilities
  • Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s).
  • Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers.
  • Investigate sources of noise and decoherence and contribute to proposed mitigation strategies.
  • Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems.
  • Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications.

Qualifications
  • Pursuing a degree in physics, computer science, mathematics, or a related field.
  • Strong physics background and experience in optics.
  • Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.

On-site internship. There is no relocation offered for this role.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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