Dashlabs.ai
Dashlabs.ai

Intern - Human Resources and Data

TLDR

Support the end-to-end recruitment process, HR data management, and report creation in a remote-first environment, contributing to the optimization of healthcare lab operations.

  • Help in the end-to-end recruitment process.
  • Help with onboarding.
  • Help manage HR data.
  • Help ensure HR information is up to date.
  • Assist with administration and support of the HR Self-Service system, including the orientation of the system to all new team members.
  • Create various HR reports including monthly company headcount reports and other HR demographic reports, as needed.
  • Provide presentation materials for reports by creating tables, graphs, charts, maps, etc. to be used for the reports.
  • Update the HR calendar, taking into account approved company-scheduled vacations and other government-declared special holidays.
  • Run various audits of HR information and other data to help maintain the data integrity.
  • Prepare COE draft for each request.
  • Do other HR-related work that may be assigned from time to time.
  • University student; preferably with OJT requirement
  • Interest in human resources management, HR data and analytics, or related fields
  • Willing to learn about recruitment, HR data management, headcount planning, and statutory requirements
  • Keen attention to detail
  • Meticulous and organized, able to work in fast-paced and dynamic environment
  • Strong problem-solving skills, interpersonal and communication skills
  • Strategic mindset to think beyond operational activities

Remote-first job. :)

Dashlabs.ai builds an integrated, cloud-based Laboratory Information System that streamlines and automates operations for healthcare and diagnostic labs, making it accessible to institutions of all sizes—from hospitals to veterinary clinics. By facilitating easy integration with existing lab machines and offering a cost-effective deployment model, we empower countless healthcare organizations across multiple countries to improve patient diagnostics and, ultimately, health outcomes.

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