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Research Networks Data Analyst Intern

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Offer summary

Qualifications:

Current student pursuing a bachelor's or master's degree in STEM fields such as data science, computer science, or data analytics., Strong communication and presentation skills, both verbal and written., Ability to multitask and manage deadlines effectively., Familiarity with data visualization tools like Tableau and SQL is advantageous..

Key responsabilities:

  • Analyze bibliometric and related data using Scopus, SciVal, and AI-driven tools.
  • Prepare infographics, reports, and presentations for internal and external stakeholders.
  • Support the GSN team in understanding collaboration patterns and strategic opportunities.
  • Illustrate strengths and opportunities of international research collaborations to create value metrics.

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Job description

Would you like to show how research benefits society through the impact of international research collaborations?

This might be your opportunity to join us as a Research Networks Analyst Intern!

About the Team

Every day, scholars around the world conduct research and publish their results in many different fields. Their work often leads to inventions and new companies, to clinical trials that improve health, and to government policies and regulations. Elsevier’s Global Strategic Networks (GSN) unit helps monitor the heartbeat of the global research enterprise by tracking what is produced - much of it by Elsevier through its extensive scholarly journals - and prior research that is linked to it. We use state-of-the-art data analytics to present this bibliometric, patent, and media data in engaging ways that inform governments, foundations, colleges and universities, and researchers about their economic and societal impact and how to invest their resources in support of future research.

About the Role

This internship is part of the Rising TIDE program. Elsevier created its Rising TIDE (Tomorrow, Inclusion, Diversity and Equity) internship program to foster inclusion and diversity as well as provide individuals with work experience in the corporate world so that we can develop a pipeline of talent for entry-level individuals for post-graduation opportunities. 

As a Research Networks Analyst Intern, you will work with members of the GSN team to analyze bibliometric and related data and prepare custom infographics and reports that characterize existing international research collaborations by region and enable them to be augmented effectively.

This is a remote or home-based role that can be open to various locations in the eastern and central time zones.

Duration: 10 weeks starting June 2, 2025, through August 8, 2025. Candidates are required to apply with both a resume and portfolio link to be considered for the Rising Tide internship.

Qualified applicants must submit a resume and cover letter describing their interest in the position.

Responsibilities

  • Using Scopus, SciVal, and other Elsevier products, along with AI-driven data analysis tools, to assist a leading research institution with research data and strategic data analysis. The goal is to illustrate the strengths and opportunities of international research collaborations to create value metrics.

  • Preparing infographics, reports, and presentations, making them accessible to internal and appropriate external parties.

  • Supporting the GSN team in its interactions with research organizations to provide a deeper understanding of collaboration patterns and strategic opportunities.

Requirements

  • Be a current student pursuing a bachelor’s or master’s degree in STEM such as data science, computer science, data analytics, quantitative social science, library/information science, or a related field graduating May 2026 or later.

  • Be a self-starter who is comfortable working alone as well as with a team.

  • Possess solid communication and presentation skills (both verbal and written).

  • Demonstrate solid multitasking and deadline management skills.

  • Be able to collaborate effectively with team members and stakeholders.

  • Be a quick learner with the ability to adapt to new systems and software. Experience with Tableau, SQL, and/or STS is advantageous.

  • Experience with data visualization, research analytics, and data analytics is advantageous as is general research experience.

  • Be proficient in Microsoft Office Suite.

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Salary Range

$28/hour for undergraduate students
$30/ hour for graduate students

#risingtide

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The salary range provided in this posting is the base salary range for NYC:$18,600.00 - $30,900.00

Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.

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Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Ability To Meet Deadlines
  • Communication
  • Collaboration
  • Multitasking
  • Adaptability
  • Presentations

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