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Asst/Manager (Clinical Data Analytics) - Job Opportunity at Tan Tock Seng Hospital

Singapore, Singapore
Contract
Senior
Posted: August 8, 2025
On-site
SGD 120,000 - SGD 160,000 per year, considering Singapore's competitive healthcare technology market, the senior leadership requirements, and Tan Tock Seng Hospital's position as a major public healthcare institution. The contract nature may command a premium of 15-25% above permanent equivalent roles.

Key Responsibilities

Lead strategic development and implementation of comprehensive data analytics frameworks that drive clinical excellence and operational efficiency across hospital systems
Direct the evolution and deployment of Patient Identification Criteria (PIC) algorithm, ensuring scalable implementation that enhances patient care outcomes and operational workflows
Manage and develop a high-performing team of data analysts while fostering innovation in machine learning models and natural language processing solutions for complex clinical challenges
Establish robust data quality governance frameworks with sophisticated monitoring systems that ensure data integrity and compliance with healthcare regulations
Drive transformational initiatives leveraging advanced AI and machine learning technologies to unlock insights from unstructured clinical data, positioning the organization at the forefront of healthcare innovation
Provide technical leadership in developing cutting-edge decision-making tools that empower clinical teams with actionable intelligence
Build strategic partnerships with clinical stakeholders and external collaborators to advance data-driven healthcare initiatives
Lead cross-functional project delivery while mentoring next-generation data analytics professionals in advanced methodologies
Oversee critical database operations, security protocols, and governance frameworks ensuring data protection and regulatory compliance
Direct development of comprehensive documentation and standard operating procedures that ensure knowledge transfer and operational continuity

Requirements

Education

Advanced degree (Master's or PhD preferred) in Information Technology, Computer Science, Data Science, or related fields

Experience

5-8 years of progressive experience in data analytics, with at least 3 years in a leadership role

Required Skills

Proven track record in managing complex data analytics projects, preferably in healthcare settings Expert knowledge of machine learning frameworks (TensorFlow, Keras, PyTorch) and statistical analysis tools Advanced proficiency in Python, R, SQL, and data visualization tools Strong knowledge of database management systems and healthcare data structures Experience with natural language processing and unstructured data analysis Proven ability to translate complex analytical findings into actionable insights Strong team management and mentoring abilities Strategic thinking and problem-solving skills Excellent stakeholder management capabilities Project management expertise Ability to work under pressure and manage multiple priorities Strong communication skills to present complex information to various audiences
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Sauge AI Market Intelligence

Industry Trends

Healthcare data analytics is experiencing unprecedented growth as hospitals worldwide recognize the critical importance of data-driven decision making in improving patient outcomes and operational efficiency. The COVID-19 pandemic has accelerated digital transformation initiatives, making clinical data analytics roles essential for healthcare organizations seeking to optimize resource allocation and enhance care delivery. Artificial intelligence and machine learning applications in healthcare are rapidly expanding, with natural language processing becoming particularly valuable for extracting insights from unstructured clinical data such as physician notes and diagnostic reports. Organizations are investing heavily in these capabilities to improve diagnostic accuracy and treatment recommendations. Healthcare data governance and security have become paramount concerns as regulatory requirements intensify and cyber threats increase. Organizations are seeking professionals who can balance innovation with compliance, particularly in handling sensitive patient information while enabling advanced analytics capabilities.

Role Significance

Likely managing a team of 5-10 data analysts and technical specialists, with potential oversight of larger cross-functional project teams involving clinical staff, IT professionals, and external partners.
Senior management position with significant strategic influence over clinical operations and data initiatives. The role combines technical leadership with business strategy, requiring oversight of complex analytics programs that directly impact patient care and hospital operations.

Key Projects

Implementation of hospital-wide patient identification and risk stratification systems Development of predictive models for clinical outcomes and resource optimization Integration of AI-powered clinical decision support tools Establishment of enterprise data governance and quality assurance frameworks

Success Factors

Ability to bridge technical complexity with clinical practicality, ensuring analytics solutions directly enhance patient care while meeting operational requirements Strong relationship-building skills to navigate complex healthcare environments and gain buy-in from diverse stakeholders including physicians, administrators, and technical teams Proven experience in scaling data analytics capabilities within regulated healthcare environments while maintaining compliance with privacy and security requirements Leadership capabilities to build and mentor high-performing analytics teams while fostering a culture of innovation and continuous improvement

Market Demand

High demand driven by digital transformation in healthcare sector and shortage of experienced professionals who combine technical expertise with healthcare domain knowledge and leadership capabilities.

Important Skills

Critical Skills

Machine learning expertise is essential as healthcare increasingly relies on predictive models for clinical decision support, risk assessment, and operational optimization. The ability to work with frameworks like TensorFlow and PyTorch enables development of sophisticated models that can handle complex medical data. Natural language processing skills are crucial for extracting valuable insights from unstructured clinical data, which represents a significant portion of healthcare information. This capability is increasingly important as organizations seek to leverage physician notes, diagnostic reports, and other text-based medical records. Healthcare domain knowledge combined with data analytics expertise creates unique value in understanding clinical workflows, regulatory requirements, and the practical constraints of implementing analytics solutions in patient care environments.

Beneficial Skills

Project management certification (PMP) would enhance ability to lead complex, multi-stakeholder healthcare technology initiatives Knowledge of healthcare standards (HL7, FHIR) would facilitate integration with existing clinical systems Experience with cloud platforms (AWS, Azure, GCP) would support scalable analytics infrastructure development Understanding of regulatory frameworks (PDPA, healthcare compliance) would ensure solutions meet privacy and security requirements

Unique Aspects

Opportunity to work at the intersection of advanced technology and direct patient care impact within one of Asia's leading healthcare institutions
Access to rich clinical datasets and collaboration with world-class medical professionals in developing cutting-edge analytics solutions
Platform to influence healthcare delivery standards across Singapore's integrated healthcare system
Exposure to diverse clinical specialties and complex medical cases that provide unique analytics challenges and learning opportunities

Career Growth

Typical progression to C-level or senior director roles within 3-5 years, given the strategic nature of this position and growing importance of data analytics in healthcare leadership.

Potential Next Roles

Chief Data Officer for large healthcare systems Director of Clinical Informatics or Digital Health Innovation Senior consultant roles with healthcare technology companies Academic positions combining research and practical application in health informatics

Company Overview

Tan Tock Seng Hospital

Tan Tock Seng Hospital is one of Singapore's largest and most prestigious public healthcare institutions, serving as a major tertiary care center and playing a crucial role in the nation's healthcare system. The hospital is known for its clinical excellence, medical research, and adoption of innovative healthcare technologies.

Leading position in Singapore's public healthcare sector with strong reputation for clinical innovation and medical education. The hospital's commitment to digital transformation and data-driven care makes it an attractive environment for healthcare analytics professionals.
Significant influence in Southeast Asian healthcare sector, often serving as a model for other regional healthcare institutions in adopting advanced analytics and digital health initiatives.
Professional healthcare environment emphasizing clinical excellence, innovation, and public service. The culture typically combines academic rigor with practical application, offering opportunities for both immediate impact and longer-term research initiatives.
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