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Graduate Research Intern Jobs (NOW HIRING)

Responsibilities The primary purpose of the Graduate Internship is to provide an intern with ... Advise and educate research fellows, clinical fellows, and residents on the statistical and AI ...

INTERN RESEARCH - Zwick Lab

San Diego, CA ยท On-site

$17.75 - $20.40/hr

... top-ranked graduate school and a leading postdoctoral training program. Scripps Research ... Intern-Research POSITION SUMMARY: Dive into the world of scientific research with our exciting ...

R&D Intern

Fremont, CA ยท On-site

$40 - $45/hr

This role is well suited for a PhD student or graduate researcher with strong experience in ... The intern should be comfortable working across fundamental science, experimental execution, and ...

R&D Intern

Fremont, CA ยท On-site

$40 - $45/hr

This role is well suited for a PhD student or graduate researcher with strong experience in ... The intern should be comfortable working across fundamental science, experimental execution, and ...

This role is well suited for a PhD student or graduate researcher with strong experience in ... The intern should be comfortable working across fundamental science, experimental execution, and ...

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Graduate Research Intern information

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$2.1K

$6.4K

$7.8K

How much do graduate research intern jobs pay per month?

As of Jul 10, 2026, the average monthly pay for graduate research intern 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 are the key skills and qualifications needed to thrive as a Graduate Research Intern, and why are they important?

To thrive as a Graduate Research Intern, you need strong analytical abilities, research methodology knowledge, and typically enrollment in a relevant graduate program. Familiarity with data analysis software (such as SPSS, R, or Python), literature review tools, and sometimes laboratory equipment is often required. Excellent written and verbal communication, adaptability, and teamwork are valuable soft skills for collaborating on research projects and presenting findings. These competencies ensure effective contribution to research objectives, high-quality results, and professional development in academic or industry settings.

What is the difference between Graduate Research Intern vs Research Assistant?

AspectGraduate Research InternResearch Assistant
Required CredentialsEnrolled in or recent graduate of a relevant graduate programUndergraduate or graduate student, often with relevant coursework
Work EnvironmentAcademic labs, research institutions, universitiesUniversities, research centers, sometimes industry
Employer & Industry UsagePrimarily academic and research institutionsUniversities, government agencies, private research firms
Common Search & Comparison IntentUnderstanding internship roles for graduate studentsClarifying research support roles in academic settings

The main difference is that Graduate Research Interns are typically enrolled in or recent graduates of graduate programs, focusing on gaining research experience during their studies. Research Assistants may be undergraduate or graduate students supporting ongoing research projects. Interns often have structured programs with specific learning objectives, while Research Assistants usually work more regularly within academic research teams.

What is a Graduate Research Intern?

A Graduate Research Intern is a graduate student who temporarily works in a research setting, such as a university lab, private company, or government agency, to gain practical experience in their field of study. Their primary role is to assist with ongoing research projects, conduct experiments, analyze data, and sometimes contribute to scholarly publications. This internship helps students apply theoretical knowledge from their coursework to real-world research challenges, build professional networks, and enhance their academic and career prospects. Graduate Research Internships are typically short-term and may be paid or unpaid, depending on the institution and funding.

What are some common challenges faced by Graduate Research Interns, and how can they be effectively managed?

Graduate Research Interns often encounter challenges such as adapting to new research methodologies, balancing multiple tasks under tight deadlines, and navigating the expectations of both academic and industry mentors. Effective communication with supervisors and proactive time management are key to overcoming these hurdles. Building strong relationships with team members and seeking feedback regularly can also help interns develop their skills and contribute meaningfully to research projects.
More about Graduate Research Intern jobs
What cities are hiring for Graduate Research Intern jobs? Cities with the most Graduate Research Intern job openings:
What are the most commonly searched types of Graduate Research jobs? The most popular types of Graduate Research jobs are:
What states have the most Graduate Research Intern jobs? States with the most job openings for Graduate Research Intern jobs include:
Infographic showing various Graduate Research Intern job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Chicago, IL โ€ข On-site

Other

Posted 9 days ago


Job description

As a Quantitative Research Intern, you'll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Austin office.
What You'll Do:
Led by our dedicated Education team, you'll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you'll work alongside an experienced researcher and contribute to a project that's aligned with current business needs. Throughout the internship, you'll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency
What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
  • A highly-competitive internship compensation package
  • Optiver-covered flights, living accommodations, and commuting stipends
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer.
Who You Are:
  • Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
  • Expected graduation between December 2027 - June 2029 and available to intern during Summer 2027
  • Open to full-time opportunities upon graduation in 2028 or 2029
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working in a fast-paced, collaborative environment
  • Fluent in English with strong written and verbal communication skills

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.
Below is the expected compensation for this position. This is a good-faith estimate of the base pay scale and sign-on bonus for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for the benefits listed above.
Base Salary Range
$80,000-$100,000 USD