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Intern Topological Data Analysis Jobs in Spring, TX

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Intern Topological Data Analysis information

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How much do intern topological data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern topological data analysis in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

What is an intern in topological data analysis?

An Intern in Topological Data Analysis is a student or recent graduate who assists in research and projects involving the application of topological methods to analyze complex data sets. They typically work under the guidance of experienced data scientists or mathematicians, learning how to use tools like persistent homology to extract meaningful patterns from data. Their tasks may include coding, data preprocessing, running experiments, and helping interpret the results. The internship provides hands-on experience at the intersection of mathematics, computer science, and data analysis.

What do interns in topological data analysis do?

As an Intern in Topological Data Analysis, you can expect to support research and application of topological methods to real-world datasets across fields like biology, computer vision, or finance. Typical responsibilities include cleaning and preprocessing data, implementing algorithms such as persistent homology, visualizing results, and collaborating with team members to interpret findings. You may also contribute to academic papers, present findings in meetings, and help develop tools or software to streamline topological analyses. Interns often work closely with experienced researchers or data scientists, gaining practical exposure to both theoretical concepts and their practical applications.

What skills and qualifications are needed to thrive as an intern in topological data analysis?

To thrive as an Intern in Topological Data Analysis, you need a solid background in mathematics—especially topology and algebra—and programming skills, typically supported by coursework or a degree in mathematics, computer science, or a related field. Familiarity with technical tools such as Python, R, and specialized libraries like GUDHI or scikit-tda is often expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with interdisciplinary teams. These skills are crucial for solving complex data problems and contributing valuable insights to research or applied projects.

What is the difference between Intern Topological Data Analysis vs Data Analyst Intern?

AspectIntern Topological Data AnalysisData Analyst Intern
Required skillsMathematics, topology, data analysis, programmingStatistics, data visualization, Excel, SQL
Work environmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry usageData science, machine learning, research projectsBusiness insights, reporting, data management

Intern Topological Data Analysis focuses on advanced mathematical techniques like topology to analyze complex data structures, often in research or specialized tech environments. In contrast, Data Analyst Interns typically work with statistical tools and visualization to interpret business data. Both roles require analytical skills, but the focus and tools differ significantly, reflecting their distinct industry applications.

What job categories do people searching Intern Topological Data Analysis jobs in Spring, TX look for?

The top searched job categories for Intern Topological Data Analysis jobs in Spring, TX are:

What cities near Spring, TX are hiring for Intern Topological Data Analysis jobs?

Cities near Spring, TX with the most Intern Topological Data Analysis job openings:

Research Intern - Experimental Radiation Oncology

MD Anderson

Houston, TX

Internship

Re-posted 24 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 891 rated healthcare providers


Job description

A Research Intern position is available in the Department of Experimental Radiation Oncology. The Research Intern is a trainee-level position designed for recent graduates seeking hands-on experience in translational cancer research and laboratory-based oncology studies. The intern will work under the guidance of a faculty mentor and research team to support ongoing studies while developing foundational skills in cancer biology research techniques, including cell culture, protein assays, western blot analysis, and cell characterization methods. This role provides direct exposure to the research process, including experimental design, laboratory data collection, data analysis, interpretation of scientific findings, and scientific literature review. The intern is expected to actively contribute to research activities while participating in structured training and educational programs focused on cancer research methodologies and scientific communication. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
Key Responsibilities
• Assist with laboratory-based cancer research activities related to experimental radiation oncology
• Perform mammalian cell culture techniques, including cell maintenance, cell counting, and microscopic observation of cells
• Participate in protein extraction, protein assay procedures, and western blot analysis under supervision
• Assist with cell characterization methods, including MTT assays and flow cytometry techniques
• Support data collection, data analysis, and interpretation of experimental findings
• Conduct scientific literature reviews related to cancer biology and translational oncology research
• Attend and participate in laboratory meetings, research discussions, seminars, and educational sessions
• Collaborate with faculty mentors and research staff on assigned laboratory research projects
• Ensure compliance with institutional laboratory safety standards and research policies
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 end of the appointment, the intern will:
• Understand the fundamentals of experimental cancer research and translational oncology studies
• Demonstrate basic proficiency in laboratory techniques including cell culture, protein assays, and western blot analysis
• Develop an understanding of cell characterization methods used in cancer biology research
• Gain experience in experimental data collection, analysis, and scientific interpretation
• Improve scientific communication skills through literature evaluation and participation in research discussions
• Develop foundational knowledge of cancer biology with exposure to pancreatic and breast cancer research models
Training Environment
• Supervised by an Experimental Radiation Oncology faculty mentor
• Participation in structured mentoring and laboratory training activities
• Engagement in departmental and institutional research seminars, workshops, and educational programming
• Hands-on training within an active collaborative cancer research laboratory environment
• Exposure to multidisciplinary translational oncology research projects
ELIGIBILITY REQUIREMENTS
Required:
• Bachelor's or master's degree (recently obtained, typically within one year)
• Prior research experience
• Strong organizational, analytical, and communication skills
Preferred:
• Interest in oncology, clinical research, or academic medicine
• Experience with data analysis or scientific writing
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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