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Intern Topological Data Analysis Jobs (NOW HIRING)

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality ...

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets ...

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets ...

The intern will work with business and technology teams to help organize data, support reporting and analytics needs, and contribute to the development of reliable data pipelines and data quality ...

Description POSITION SUMMARY As a Data Analytics Intern, you will report to the Data and Research ... Food Insecurity and Partner Data Analysis * Collaborate with the Client Experience Manager and Data ...

The NYC Health Department has an opening for a Communicable Disease Intern. This position will ... Perform data analysis * Perform data entry and data management * Assist in tickborne and H5N1 ...

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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 Jul 14, 2026, the average hourly pay for intern topological data analysis in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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 are the key skills and qualifications needed to thrive as an Intern in Topological Data Analysis, and why are they important?

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 types of projects and responsibilities can an Intern in Topological Data Analysis expect to work on during their internship?

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 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.

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What job categories do people searching Intern Topological Data Analysis jobs look for? The top searched job categories for Intern Topological Data Analysis jobs are:
Quantum Topological Qubits Research Scientist

Quantum Topological Qubits Research Scientist

Globalfoundries

Malta, NY

$143K - $275K/yr

Full-time

Re-posted 7 days ago


GlobalFoundries rating

8.2

Company rating: 8.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

84th of 527 rated manufacturers


Job description

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Introduction

The Quantum Topological Research Scientist - Technology Architecture is a senior technical leadership role within GF Labs responsible for advancing topological quantum computing technologies from fundamental concepts to scalable semiconductor platforms. This role combines deep expertise in materials, device physics, and integration with hands-on technical engagement in experiments, simulations, and early hardware development. The position influences internal roadmaps and external research while working closely with engineering teams and partners to mature topological quantum technologies into manufacturable solutions.

Summary of Role

As a PMTS, this role works closely with foundry customers to define the long-term technology architecture for topological qubit platforms while remaining actively engaged in experimental, modeling, and prototype activities. The position spans quantum materials, device physics, integration, and cryogenic systems, translating emerging concepts into scalable semiconductor solutions. This individual serves as a technical authority internally and externally to shape roadmaps, guide investments, and deliver high-impact quantum technologies.

Essential Responsibilities

  • Define and drive long-term technology roadmaps for topological qubits, including materials, device architectures, and integration strategies
  • Lead development of topological quantum devices, with direct involvement in experiments, simulations, and prototype evaluation
  • Work closely with device, integration, process, AME, PDK, and test teams to translate concepts into scalable semiconductor architectures
  • Guide R&D of advanced materials, including IIIV heterostructures, epitaxy, superconductors, and topological material systems
  • Contribute to experimental design, data analysis, and failure learning cycles for quantum devices
  • Define system architectures linking qubits with cryogenic control and read-out electronics
  • Drive modeling and validation strategies to improve coherence, performance, manufacturability, and scalability
  • Translate device innovations into semiconductor-compatible integration approaches (BEOL, superconducting wiring, heterogeneous integration)
  • Establish technical benchmarks, requirements, and success metrics aligned with internal and partner programs
  • Serve as primary technical interface with customers and research partners to shape joint development efforts
  • Lead and contribute to external collaborations, funded programs, and research proposals
  • Communicate technical strategy, risks, and tradeoffs to leadership and multidisciplinary teams
  • Mentor engineers and establish technical standards across topological quantum R&D

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications

  • MS or PhD in Physics, Electrical Engineering, Materials Science, or Applied Physics
  • 12+ years of experience in quantum devices, semiconductor technologies, or advanced research
  • Deep expertise in topological, superconducting, and quantum system architectures
  • Experience with cryogenic device physics and measurement environments
  • Demonstrated impact on technical strategy, research direction, and roadmaps.

Preferred Qualifications

  • PhD with publications or patents in topological quantum devices
  • Experience scaling research concepts into manufacturable semiconductor platforms
  • Background in Majorana or topological qubit architectures
  • Experience collaborating with quantum companies, academia, or consortias
  • Experience mentoring and guiding technical organizations

Expected Salary Range

$143,000.00 - $275,000.00

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law


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