jobs in Atlas Workspace

全职 Research Assistant Intern 工作, 薪水, Atlas Workspace 公司招聘中 - Ricebowl

Research Assistant Intern

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Company Description Atlas Workspace is a visual and verifiable workspace designed to support modern research workflows. The platform enables users to chat with their knowledge base, explore complex ideas through interactive knowledge maps, and validate information with explained citations. Atlas helps researchers organize insights, reduce duplication of effort, and collaborate more effectively across teams. The company is focused on creating tools that make research more transparent, auditable, and easy to understand for both experts and non-experts.
Role Description This full-time, on-site Research Assistant Intern role is based in Singapore. The intern will support research projects by gathering, organizing, and synthesizing information from a variety of sources, including academic literature, datasets, and internal documents. Day-to-day tasks include conducting structured research, performing basic data analysis, assisting with the creation of knowledge maps and citation trails, and preparing clear summaries for internal stakeholders. The intern will collaborate closely with researchers and product team members, contribute to documentation, and help test and refine research workflows within the Atlas Workspace platform.
Qualifications
  • Strong Research and Analytical Skills to collect, evaluate, and synthesize information from diverse sources.
  • Proficiency in Data Analysis and related tools to interpret findings and present insights in a structured manner.
  • Effective Communication skills, including clear written and verbal communication for reports and collaborative work.
  • Relevant Laboratory Skills or technical research experience, where applicable to specific projects.
  • Currently pursuing or recently completed a degree in a relevant field such as science, engineering, social sciences, data science, or related disciplines.
  • Attention to detail, organizational skills, and the ability to manage multiple tasks in a fast-paced environment.
  • Comfort with digital tools and an interest in research workflows, knowledge management, or AI-driven platforms.

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