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Scientific Computing Internship Jobs in New York

Experience through coursework, internships, co-op programs, research projects, open-source ... Interest in AI, data analytics, cloud computing, or scientific computing.- * Background or interest ...

RF Engineer Intern

Hoboken, NJ · Hybrid

$20 - $35/hr

September 14th Internship End Date: December 11th About Us Quantum Computing Inc. (QCi) (Nasdaq ... The ideal candidate will have a strong background in experimentation and the scientific method ...

Lead Machine Learning Engineer

New York, NY · 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 ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/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 ...

Lead Machine Learning Engineer (IC)

New York, NY · 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 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 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 are the most commonly searched types of Scientific Computing jobs in New York?

The most popular types of Scientific Computing jobs in New York are:

What cities in New York are hiring for Scientific Computing Internship jobs?

Cities in New York with the most Scientific Computing Internship job openings:

Software Engineer - AI Development

Merck & Co.

Rahway, NJ • On-site

$87 - $137/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

Job Description

Join our company and help build innovative software solutions that accelerate scientific discovery and improve human and animal health worldwide.-

As a Software Engineer, you will work alongside experienced engineers, scientists, and product teams to develop applications and digital solutions that support research and development. This role is ideal for recent graduates or early-career professionals who are passionate about technology, enjoy solving complex problems, and are eager to learn new tools and approaches.-

Responsibilities
  • Design, develop, test, and maintain software applications that support scientific research and business operations.-
  • Collaborate with software engineers, scientists, and product teams to deliver solutions that address real-world challenges.-
  • Learn and apply modern technologies such as cloud platforms, AI-assisted development tools, web frameworks, and data platforms.-
  • Contribute to applications built using technologies such as AWS, React, Python, Databricks, Power Platform, GitHub, and SharePoint.-
  • Support the adoption of AI-enabled solutions and explore emerging technologies that can create business value.-
  • Participate in code reviews, testing, troubleshooting, and continuous improvement activities.-
  • Document solutions and share knowledge with team members.-
  • Contribute to Agile product teams through planning, development, and delivery activities.-
Education Minimum Requirement

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.-

Required Experience and Skills
  • Understanding of software development fundamentals, including programming, testing, debugging, and version control.-
  • Curiosity, creativity, and a desire to learn new technologies.-
  • Strong problem-solving and collaboration skills.-
  • Ability to communicate technical concepts effectively with both technical and non-technical colleagues.-
Preferred Experience and Skills
  • Experience through coursework, internships, co-op programs, research projects, open-source contributions, or personal projects.
  • Exposure to one or more of the following technologies: Python, JavaScript/TypeScript, React, AWS, Azure, Databricks, GitHub, or Power Platform.-
  • Interest in AI, data analytics, cloud computing, or scientific computing.-
  • Background or interest in life sciences, bioinformatics, computational chemistry, or related scientific disciplines.-
  • Familiarity with Agile development practices.-
Required Skills

Agile Methodology, Business Value Creation, Cloud Computing, Data Engineering, Data Visualization, Design Applications, Emerging Technologies, Learning New Technologies, Software Development, Software Development Life Cycle (SDLC)

Employee Status

Regular

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

10%

Flexible Work Arrangements

Hybrid

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

n/a

Job Posting End Date: 08/20/2026

*A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Salary

The salary range for this role is $87,300.00 - $137,400.00

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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