Scientific Project Manager - Jeju

등록 회원 전용 Jeju, 대한민국.

1개월 전

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풀타임 ₩50,000,000 - ₩80,000,000 (KRW) 연 1년에 *
* 이 급여 범위는 beBee에서 추정한 것입니다.

Job summary

We seek a highly organized and motivated Scientific Project Manager to oversee, manage, and coordinate a multidisciplinary collaborative research project executed out of the Texas Gulf Coast Research Center at UTMSI. The successful candidate will serve as a central point of contact between researchers, collaborators, and stakeholders, ensuring project implementation, coordination of field logistical support, and timely completion of deliverables aligned with scientific goals. This position is located in Port Aransas, Tx.

Responsibilities

  • Plan, coordinate, and manage the day-to-day activities of the scientific research projects.
  • Collaborate with principal investigators, research staff, and external partners to align objectives and deliverables.
  • Develop and monitor project timelines, budgets, milestones, and reporting requirements.
  • Facilitate communication across scientific, administrative, and funding teams.
  • Prepare documentation for reporting, publications, and presentations.
  • Identify risks, troubleshoot challenges, and propose solutions to keep projects on track.
  • Contribute to strategic planning and the development of future research initiatives.
  • Coordinate field logistics, including research cruises, with PIs.

Required Qualifications

  • Master's degree in a scientific discipline related to marine science (e.g., biology, chemistry, physics, engineering, or related field) with four years of relevant experience.
  • Peer-reviewed publications relevant to coastal ecosystems
  • Field sampling experience that includes small vessels and ships
  • Proven experience in project management within a scientific research environment.
  • Data Analysis: Ability to interpret experimental results and guide decisions based on evidence.
  • Planning & Scheduling: Mastery of tools like Gantt charts, Kanban boards, and project timelines.
  • Budgeting & Resource Allocation: Managing costs, personnel, and lab resources efficiently.

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