1

Scientific Computing Internship Jobs (NOW HIRING)

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114K/yr

... internships will be fully considered). • Programming Fluency: Deep, hands-on proficiency in Python specifically tailored for scientific computing and deep learning frameworks (e.g., NumPy, PyTorch ...

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 ...

... in scientific computing Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork ...

... in scientific computing Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork ...

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

... science, electrical engineering, mathematics, or a similar field * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience ...

next page

Showing results 1-20

Scientific Computing Internship information

See salary details

$2.1K

$6.4K

$7.8K

How much do scientific computing internship jobs pay per month?

As of Jun 19, 2026, the average monthly pay for scientific computing internship in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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.
More about Scientific Computing Internship jobs
What cities are hiring for Scientific Computing Internship jobs? Cities with the most Scientific Computing Internship job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Scientific Computing Internship jobs? States with the most job openings for Scientific Computing Internship jobs include:
Infographic showing various Scientific Computing Internship job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Staff Scientist, O'Donnell Data Science and Research Computing Institute

Staff Scientist, O'Donnell Data Science and Research Computing Institute

SOUTHERN METHODIST UNIVERSITY

Dallas, TX

Full-time

Medical, Dental, Vision

Posted 7 days ago


Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

286th of 538 rated colleges and universities


Job description

Salary Range: 

Salary commensurate with experience and qualifications

About SMU

SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs.

SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies.

SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence.

Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact.

SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry.

About the Department:

  SMU's O'Donnell Data Science and Research Computing Institute was launched in Fall 2020. The Institute aims to develop research connections between SMU's faculty affiliates and corporations, federal/state/local governmental agencies, and nonprofit   organizations.

  The Institute strives to provide these partners with access to graduate and undergraduate students in our data science programs   for project participation, internships, and potential full-time employment. We also serve as a gateway to SMU's high performance   computing environment and data science training tutorials and workshops.

About the Position:

This role is an on-campus, in-person position.

The Staff Scientist in the O'Donnell Data Science and Research Computing Institute (ODSRCI) will support SMU's research activities in data science, artificial intelligence/machine learning (AI/ML), and high-performance computing (HPC). The ODSRCI was established to enhance and connect data-intensive research across the SMU campus through advanced computational infrastructure and interdisciplinary collaboration. Working with the Director, faculty, and research teams, the Staff Scientist will contribute technical and research expertise to projects involving data analytics, scientific computing, AI/ML, and related computational methods. 

Essential Functions:

  • The responsibilities of this role include contributing to research activities in data science, AI/ML, high-performance computing, and related emerging technologies through participation in assigned projects and collaborative initiatives. The Staff Scientist will help identify external funding opportunities and contribute to proposal development and submission.

  • This role requires collaboration with industry and academia to advance the O'Donnell Institute's research and development efforts. The Staff Scientist will promote the mission and capabilities of SMU and the O'Donnell Institute in the areas of data science, AI/ML, and HPC. He/she will communicate SMU's strengths and accomplishments to help support the Institute's continued growth.

  • The O'Donnell Institute provides support to graduate students through graduate fellowships and short-term internships. The Staff Scientist will help design student research projects for maximum impact and learning opportunities. He/she will also provide mentorship to graduate students to help establish a culture of innovation, interdisciplinary research, and scholarship.

  • The O'Donnell Institute holds multiple events throughout the year to communicate its mission and progress to the public and various stakeholders. The Institute also provides training and workshops to SMU researchers and collaborators in the areas of data science, AI/ML, and high-performance computing. The Staff Scientist will help design, organize, and execute these events.

  • Occasional travel to meet sponsors and attend workshops and conferences is required. 

Education and Experience:

Doctoral degree is required. A degree in Computer Science, AI/ML, or related field is preferred. 

A minimum of two years of research experience and established track record in the fields of data science and AI/ML is required. 

Experience working across disciplinary boundaries to develop research conditions is preferred. Experience in mentoring student is preferred. 

Knowledge, Skills and Abilities:

Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills.

Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills.  

Candidate must have a good understanding of the interface of academia and industry. 

Candidate must have awareness of current and upcoming changes in the funding and research landscape. 

Knowledge of HPC software stacks and parallel computing is required. Experience with GPU and accelerated computing is preferred. 

Physical and Environmental Demands:

  • Sit for long periods of time

Deadline to Apply:

Priority consideration may be given to submissions received by July 1, 2026

The position is open until filled.

EEO Statement

SMU is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

Benefits:

SMU offers staff a broad, competitive array of health and related benefits. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution.

SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU.

The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities, including tuition benefits.


What Southern Methodist University employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom