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Manager, NUHS Education & Research Office

National University Polyclinics

Singapore

On-site

SGD 80,000 - 110,000

Full time

Yesterday
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Job summary

A leading healthcare institution in Singapore is seeking a Manager for the NUHS Education & Research Office on a 2-year contract. The role focuses on strategic development of data use priorities and project management within the healthcare sector. Candidates should have a professional degree in Nursing, Pharmacy, or a related field and 5+ years of experience in clinical or healthcare management. Strong communication and project management skills are essential, and a background in data analytics is preferred.

Qualifications

  • 5+ years in clinical or healthcare management, preferably in patient care and health technology.
  • Experience with data science, analytics, or related technical fields is preferred.

Responsibilities

  • Develop and oversee data use priorities aligned with goals.
  • Manage projects to achieve outcomes and KPIs.
  • Support day-to-day operations to ensure efficiency.
  • Contribute to a cohesive workplace culture.

Skills

Communication skills
Organisational skills
Collaboration skills
Project management skills
Risk management skills
Informatics proficiency
Data analytics proficiency

Education

Professional degree in Nursing, Pharmacy, Allied Health, or a related field
Job description

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Manager, NUHS Education & Research Office

Job ID: 9223

Job Function: Administration

Institution: National University Health System

Manager, NUHS Education & Research Office (2 years contract)

Job Responsibilities
  • Strategic Development and Alignment of Data Use Priorities
    • Collaborate with stakeholders to develop and oversee data use priorities, roadmaps, and plans that align with clinical and business goals.
    • Identify and prioritise high‑impact areas in clinical, research, and operational settings for data insights.
    • Co‑conceptualise DataIU products with stakeholders and support the formulation of follow‑up plans and proposals.
    • Facilitate review processes, adoption frameworks, and benefits realisation metrics.
    • Ensure alignment with NUHS’s goals and priorities through strategy and planning with stakeholders.
  • Project and Programme Management
    • Oversee DataIU projects, ensuring outcomes and KPIs are achieved.
    • Support quality checks, post‑implementation reviews, and risk management.
    • Track and facilitate resource planning and optimisation.
    • Contribute to sustainability and future‑proofing of DataIU’s work products.
  • Department Operations, Growth, and Sustainability
    • Collaborate with DataIU colleagues to develop positive work practices and culture.
    • Assist in managing day‑to‑day operations to ensure efficiency.
    • Participate in internal improvement initiatives.
    • Support DataIU’s growth and sustainability planning for long‑term relevance.
  • Champion Innovation, Research, and Education
    • Contribute to the mentoring framework and foster a learning and innovation environment.
    • Participate in team‑building activities to promote a cohesive workplace.
Skills and Knowledge
  • Professional degree or equivalent in Nursing, Pharmacy, Allied Health, or a related field.
  • Data Science background is optional but preferred, with experience in data analytics or related fields.
Skills and Qualities
  • Strong communication and collaboration skills with clinical, business, and IT teams.
  • Excellent organisational and coordination skills.
  • Knowledge of Singapore’s healthcare landscape and reform agenda.
  • Proficiency in informatics, IT, and data analytics.
  • Solid project and risk management skills with focus on outcomes.
  • Ability to perform well under pressure in a fast‑paced environment.
  • Strong interpersonal skills and a collaborative mindset.
Experience Required
  • Minimum of 5 years in clinical or healthcare management, preferably with experience in patient care and health technology.
  • Experience in business and operations is a plus.
  • Experience with data science, analytics, or related technical fields is optional but preferred.
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