Digital Science

Digital Science

Elements & Figshare Customer Support Specialist (US)

USA, Remote

Sponsorship not specifiedDetected 15 days ago
Customer SupportResearch

About the role

  • We believe in better, open, collaborative and inclusive research.
  • In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team.
  • You'll work with a diverse user base-including researchers, administrators, librarians, and IT staff-supporting both individual users and institutions operating under deeply embedded academic and government customer agreements.

Responsibilities

  • Figshare and Elements are two leading research infrastructure solutions that support the management, sharing, and reporting of research outputs and activities.
  • Figshare enables institutions and researchers to store, manage, and openly share a wide range of research materials.
  • As a Support Specialist for Figshare and Elements, you will play a critical role in delivering a seamless support experience across both products.
  • Your success will be measured by customer satisfaction, resolution times, and your ability to build trust with users navigating two critical Digital Science platforms.

Benefits

  • We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all.
  • You'll be part of a globally distributed team focused on continuous learning and delivering outstanding customer experiences.

Company info

  • We are Digital Science and we are advancing the research ecosystem.
  • In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research.
  • Want to join us?
  • Your new role - At Digital Science, we put our customers at the core of everything we do.
  • Elements, part of the Symplectic suite, offers a powerful platform for research information management, enabling institutions to collect, curate, and showcase scholarly activity.

This listing is sourced directly from Digital Science's careers page and normalized into a canonical job model.