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Associate Director, Imaging

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Onsite

Associate Director, Imaging

National University of Singapore

Associate Director, Imaging

Skills

Testing & QAComplianceRegulatory Compliance

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

26 August 2026

What they need


Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description Role Summary

The Head of Imaging provides strategic, scientific, and operational leadership for a multi-modality imaging core supporting small and large animal research. The role drives high-quality, compliant imaging services that enable translational research, while ensuring adherence to applicable regulatory, ethical, and animal welfare standards.

Key Responsibilities

Strategic & Scientific Leadership

  • Define and execute imaging strategy aligned with institutional research priorities
  • Advance multimodal imaging capabilities across MRI, CT, PET, ultrasound, optical
  • Partner with investigators on study design and imaging biomarkers
  • Drive the application of multimodal imaging approaches to longitudinal monitoring, disease characterization, treatment response, and quantitative biomarker development.

Operations & Service Delivery

  • Lead and optimize operations of small- and large-animal imaging facilities, including scheduling, throughput, utilization, and service quality.
  • Oversee equipment lifecycle management, maintenance, and technology planning.

Animal Welfare & Regulatory Compliance

  • Ensure compliance with applicable regulatory, ethical, and animal welfare requirements governing the use of laboratory animals in research.
  • Maintain imaging-related animal ethics protocols and support institutional animal ethics review and oversight processes.
  • Knowledge of relevant Singapore requirements (e.g., NACLAR Guidelines, Animals and Birds Act) is advantageous.
  • Embed the principles of Replacement, Reduction, Refinement (3Rs) across imaging operations and research activities

Quality, Data & Research Integrity

  • Establish and maintain SOPs, risk assessments, quality assurance/quality control, and research integrity standards
  • Oversee imaging informatics, data management, analysis workflows, and data integrity

Financial & Resource Management

  • Develop sustainable financial and cost-recovery models aligned with facility utilization and strategic priorities.
  • Develop business cases for new technologies

People & Stakeholder Leadership

  • Lead, mentor, and develop multidisciplinary teams, ensuring appropriate expertise, training, and succession planning
  • Build strong partnerships with researchers, leadership, and external partners
  • Support grant proposals and strategic collaborations

Qualifications Qualifications & Experience

  • PhD, DVM, MD, or equivalent qualification in a relevant field
  • At least 10 years of experience in preclinical imaging
  • Demonstrated experience working with small and large animal models
  • Demonstrated leadership experience in research, imaging, or core facility environments, preferably with responsibility for facility operations and/or service delivery
  • Experience managing multidisciplinary teams and/or imaging facilities

Skills & Competencies

  • Expertise in multimodal imaging technologies
  • Strong knowledge of regulatory, ethical, and animal welfare requirements for the use of laboratory animals in research
  • Experience with animal ethics review, institutional oversight, and related approval processes.
  • Strong leadership, communication, and stakeholder management skills
  • Experience with imaging informatics, quantitative imaging, and image analysis

Key Success Metrics

  • Efficient platform utilization, service quality, and turnaround time
  • Regulatory compliance and high standards of animal welfare
  • Quality, reproducibility, and integrity of imaging data
  • Scientific impact, research outputs, and successful collaborations
  • Financial sustainability and effective resource utilization

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