GRAIL

GRAIL

Project Integration Specialist, Operational Excellence # 4894

Durham, NC · Full-time

Sponsorship not specified$146k-$194kDetected 1 day ago
Data ScienceProject ManagementJiraConfluenceExcelSupply ChainClinical TrialsNGSCommunicationCollaboration

About the role

  • The ideal candidate thrives in fast-paced, cross-functional environments and excels at translating operational needs into coordinated execution plans.

Responsibilities

  • Ability to manage multiple priorities and coordinate across diverse stakeholder groups

Requirements

  • 12+ years of experience in project management, operations, laboratory operations, or program support roles
  • Proficiency with project management and collaboration tools (e.g., Jira, Smartsheet, Asana, Monday.com, Confluence, Excel)

Nice to have

  • This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire
  • the actual compensation offered may vary depending on factors such as the candidate's qualifications.
  • and carefully selected mindfulness programs.
  • Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.
  • We welcome job-seekers from all backgrounds to join us!
  • Bachelor's degree in Life Sciences, Engineering, Operations, Project Management, or related field

Skills

  • GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom.
  • It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
  • For more information, please visit grail.com
  • This role is works on-site full-time at our office located in Durham, NC

Compensation

  • The expected, full-time, annual base pay scale for this position is 146K - $194K.

Benefits

  • Experience working in biotechnology, diagnostics, healthcare, laboratory, or regulated operational environments preferred

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