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Research Apprentice Jobs in Texas (NOW HIRING)

Work closely with portfolio companies, supporting business development, market research, growth etc. * Assist with investment due dilligence. * Assist with hands on services provided to companies. At ...

Work closely with portfolio companies, supporting business development, market research, growth etc. Assist with investment due dilligence. Assist with hands on services provided to companies. At ...

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Research Apprentice information

What is a research apprentice?

Research apprentices are individuals, often students or early-career professionals, who work under the supervision of experienced researchers to gain hands-on experience in conducting academic, scientific, or industry research. Their responsibilities may include collecting data, performing literature reviews, assisting with experiments, and analyzing results. This role is designed to provide practical training and mentorship, helping apprentices develop skills and knowledge that prepare them for more advanced research roles or graduate study.

What are some typical challenges faced by research apprentices when transitioning from academic to professional research settings?

Research Apprentices often find that adapting to the pace and expectations of professional research environments can be challenging. Unlike academic settings, professional research teams may require more collaborative work, strict adherence to deadlines, and the ability to communicate findings clearly to both technical and non-technical stakeholders. Navigating new tools, protocols, and data management systems is also common, making adaptability and a willingness to learn from mentors essential for success. Regular feedback, teamwork, and proactive communication can help apprentices overcome these initial hurdles.

What are the key skills and qualifications needed to thrive as a research apprentice?

To thrive as a Research Apprentice, you need a solid background in analytical thinking, basic research methodologies, and relevant academic credentials such as a bachelor's degree in a related field. Familiarity with data analysis tools (like SPSS, R, or Excel), literature databases, and sometimes basic laboratory equipment is typically required. Attention to detail, curiosity, and strong communication skills help you excel in gathering data, collaborating with teams, and presenting findings. These skills are essential for supporting research projects accurately and efficiently, contributing to meaningful scientific or academic advancements.

What does a research apprentice do?

A research apprentice assists with data collection, analysis, and reporting under the supervision of experienced researchers. They often use tools like spreadsheets and research databases, gaining skills in research methodologies and critical thinking while supporting ongoing projects.

What is the difference between Research Apprentice vs Research Assistant?

AspectResearch ApprenticeResearch Assistant
Required CredentialsTypically enrolled students or recent graduates; may require relevant courseworkOften students, recent graduates, or those with some research experience
Work EnvironmentAcademic labs, research institutions, or industry R&D departmentsUniversities, research centers, or industry settings
Employer & Industry UsageCommon in academic and research institutions for training rolesWidespread across academia and industry for supporting research projects

The main difference between a Research Apprentice and a Research Assistant lies in their experience level and role focus. Research Apprentices are often students gaining initial research exposure, while Research Assistants typically have more experience and assist with ongoing research tasks. Both roles are essential in research settings, but the Research Apprentice position is usually more educational and entry-level.

What are the most commonly searched types of Research jobs in Texas? The most popular types of Research jobs in Texas are:
Infographic showing various Research Apprentice job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution.

Quantitative Research Intern, PhD (Summer 2027)

Optiver

Austin, TX โ€ข On-site

Full-time, Temporary, Internship

Re-posted 8 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 Chicago 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.