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Data Science Research Intern Jobs in Texas (NOW HIRING)

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Data Science Research Intern information

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What are the most commonly searched types of Data Science Research jobs in Texas?

The most popular types of Data Science Research jobs in Texas are:

What job categories do people searching Data Science Research Intern jobs in Texas look for?

The top searched job categories for Data Science Research Intern jobs in Texas are:

What cities in Texas are hiring for Data Science Research Intern jobs?

Cities in Texas with the most Data Science Research Intern job openings:

Infographic showing various Data Science Research Intern job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Research Intern - Radiation Oncology - Research

MD Anderson Cancer Center

Houston, TX • On-site

Internship

Re-posted 6 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 898 rated healthcare providers


Job description

The Radiation Oncology Research Intern participates in a structured educational and research training program designed to provide foundational knowledge and hands-on experience in clinical and translational radiation oncology research. Under the supervision of a Radiation Oncology faculty mentor and research team, the intern will learn the principles of research design, literature review, data collection, research methodologies, data analysis, and scholarly dissemination of research findings. The internship emphasizes professional development through participation in research meetings, seminars, workshops, and department-specific educational activities.
This role is responsible for designing, performing, and optimizing complex translational assays and experiments to advance core oncology research priorities, as well as analyzing and synthesizing large-scale preclinical and clinical trial correlative data. Responsibilities include leading the drafting, peer-review submission, and revision of high-impact research manuscripts, and preparing detailed research summaries, progress reports, and literature reviews. The individual will work closely within the cross-functional TRACTION engine, interfacing between lab scientists, computational biologists, and clinical research teams to meet project milestones. Additional duties include assisting in generating preliminary data, figures, and technical writing for grant applications (NIH/NCI, foundation awards, industry collaborations) and institutional protocols. The role also involves presenting scientific findings at internal team meetings, departmental seminars, and national and international oncology conferences. Furthermore, the individual will provide informal guidance and protocol training to junior lab personnel, graduate students, and technicians while maintaining meticulous laboratory records and safety compliance.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the conclusion of the program, the trainee is expected to:
Demonstrate knowledge of the radiation oncology research process from project conception through dissemination of findings.
Contribute to research activities under faculty supervision.
Prepare components of a research presentation, poster, abstract, or manuscript.
Communicate scientific findings effectively to research teams and academic audiences.
Develop foundational skills necessary for future educational, clinical, or research careers in medicine, radiation oncology, and related health sciences.
ELIGIBILITY REQUIREMENTS
Eligibility criteria
Applicant must hold a bachelor's or master's degree
Degree must have been obtained recently (within one year)
Applicant must have previous research experience
Applicants who hold a Ph.D. or equivalent doctoral degree (e.g., M.D., D.V.M., M.B.B.S.) are not eligible
Applicants should not be enrolled in a degree granting program as a student
Applicants in a clinical position, postdoctoral fellowship, or faculty position do not qualify
Research Interns cannot change titles to another trainee title upon completion;Exception applies if the trainee enrolls in a degree-seeking program.
ADDITIONAL APPLICATION INFORMATION
The internship is a temporary educational training experience designed to provide structured learning opportunities and research exposure within the Department of Radiation Oncology. Program length and weekly time commitment are determined by the research project and mentor availability.
POSITION INFORMATION
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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