Beranda Job Details
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Healthcare Technology & Innovation 🏢 Full Time ⭐️ Terverifikasi

Assistant Manager, Care Innovation & AI Solutions - Transform Healthcare with AI

National Cancer Centre Singapore
Canggu, Bali, Indonesia
Salary Estimate
Rp 40.000.000 – Rp 60.000.000
Newest
Live Update
16 Juli 2026
Deadline
16 Jul 2027

job description

Join the National Cancer Centre Singapore as an Assistant Manager in Care Innovation & AI Solutions and play a pivotal role in revolutionizing healthcare through cutting-edge digital transformation. This is a unique opportunity to bridge the gap between technology and patient care, driving impactful change in one of Asia’s leading cancer treatment institutions.

In this dynamic role, you will spearhead AI-driven initiatives to enhance patient care processes, streamline operational efficiency, and modernize care delivery. By leveraging automation, machine learning, and data analytics, you will contribute to developing scalable solutions that improve outcomes for patients and healthcare providers alike. Your work will directly influence the future of oncology care, making a tangible difference in the lives of those battling cancer.

Based in the vibrant and innovative hub of Bali, Indonesia, this position offers a rare blend of professional growth and lifestyle flexibility. Collaborate with cross-functional teams, including clinicians, data scientists, and IT specialists, to design and implement next-generation healthcare technologies. Whether you’re optimizing workflows, analyzing patient data trends, or piloting new AI tools, your contributions will shape the next era of medical excellence.

Responsibility

  • AI Solution Development: Lead the design, testing, and deployment of AI-powered tools to automate and enhance patient care workflows, from diagnosis to treatment follow-up.
  • Process Optimization: Identify inefficiencies in clinical and administrative processes, proposing data-driven solutions to improve speed, accuracy, and patient satisfaction.
  • Stakeholder Collaboration: Work closely with medical staff, IT teams, and external vendors to align AI initiatives with organizational goals and regulatory standards.
  • Data Analysis & Insights: Analyze healthcare data to uncover trends, predict patient needs, and generate actionable insights for continuous improvement.
  • Change Management: Drive adoption of new technologies by developing training programs, documentation, and support systems for end-users.
  • Innovation Research: Stay abreast of emerging AI and healthcare technologies, evaluating their potential application to oncology care.
  • Project Management: Oversee the end-to-end lifecycle of innovation projects, ensuring timely delivery, budget adherence, and measurable impact.
  • Compliance & Ethics: Ensure all AI solutions adhere to healthcare data privacy laws (e.g., HIPAA, GDPR) and ethical AI principles.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Healthcare Informatics, Data Science, Business Administration, or a related field. Master’s degree is a plus.
  • Experience: Minimum 3–5 years in project management, AI/ML implementation, or healthcare technology, with a focus on process improvement.
  • Technical Skills: Proficiency in AI/ML frameworks (TensorFlow, PyTorch), data visualization tools (Tableau, Power BI), and healthcare IT systems (EHR, PACS).
  • Analytical Mindset: Strong problem-solving abilities with experience in data analysis, statistical modeling, or predictive analytics.
  • Communication: Excellent written and verbal communication skills to articulate complex technical concepts to non-technical stakeholders.
  • Leadership: Proven ability to manage cross-functional teams, influence decision-making, and drive organizational change.
  • Healthcare Knowledge: Familiarity with clinical workflows, oncology care, or healthcare regulations is highly advantageous.
  • Adaptability: Ability to thrive in a fast-paced, innovative environment with evolving priorities.

Required Skills

AI Machine Learning Healthcare Informatics Data Analysis Process Automation Project Management Python TensorFlow Tableau EHR Systems Change Management Stakeholder Engagement Clinical Workflows Predictive Analytics

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