Healthcare jobs in Singapore

Posted On 05/03/2026

Work Experience 4-5 years

Transportation

SGD 6000 - SGD 7000

City Singapore

State/Province Central Singapore

079903

Act as a technical expert in healthcare quality and regulatory analytics. Combine advanced quantitative analysis, data engineering, and quality system expertise to build stakeholder-specific reporting, develop AI-enabled quality tools, and integrate/manage third‑party quality applications to support compliance, continuous improvement, and executive decision‑making.

• Perform advanced quantitative data analysis: build statistical and machine learning models for trend detection, root‑cause analysis, forecasting, anomaly detection, and risk stratification
• Design, build, and maintain stakeholder‑specific dashboards and reports (executive, regulatory) using Power BI tools and data visualization best practices; deliver actionable insights and data storytelling.
• Develop and maintain quality tools and automations using AI/ML/LLM technologies (NLP for document classification/summarization, automated quality checks, predictive analytics, chat assistants for SOP/QMS guidance).
• Lead integration and lifecycle management of third‑party quality software: requirements gathering, vendor coordination, configuration, data integration, testing, release coordination, and ongoing support.
• Utilize current and emerging technologies in evaluating trends to business models and healthcare quality processes
• Develop insights and translate information into actionable initiatives to ensure business outcomes
• Lead and support projects through the application of technical expertise including conceptualization, planning, design, implementation and support of quality assurance processes, systems, and quality technology solutions
• Evaluate and monitor healthcare quality processes and systems to identify areas for continuous improvement and transformation ensuring global excellence
• Initiate and lead the development of reports for key stakeholders, including executive management, using data storytelling and visualization.
• Develop and execute tools to enhance services and deliver training for internal customers or vendors on analytics outputs, tools, and integrated systems.
• Gather and consolidate regulatory and business requirements into technical specifications and implement monitoring to ensure ongoing compliance with company’s internal policies and relevant regional and local regulations.
• Develop and maintain data validation, models, and metadata; routinely assess model performance and recalibrate as required.
• Lead end‑to‑end analytics projects: planning, stakeholder alignment, implementation, and post‑implementation reviews; document methods and SOPs.
• Support audit readiness and provide analytics‑driven evidence for regulatory submissions, inspections, and internal quality reviews.
• Identify opportunities for process improvement and automation in quality workflows, pilot new technologies and scale successful solutions.

• Provide subject‑matter expertise for cross‑functional programs and global initiatives.
• Manage vendor relationships and service‑level expectations for third‑party tools.
• Participate in career progression and mentoring for junior analysts.

• Bachelor’s degree in Statistics, Data Science, Biostatistics, Engineering, Computer Science, Information Technology, Healthcare Analytics, or related field (or equivalent experience).
• Strong quantitative and statistical skills; proficiency in data science libraries and tools
• Experience building dashboards and visualizations with tools such as Power BI, Tableau, Looker, or equivalent.
• Hands‑on experience integrating and managing third‑party quality/GxP systems (MasterControl, Synthesis, ServiceNow) or similar QMS/issue tracking platforms.
• Experience working with cloud platforms, databases (SQL, NoSQL), ETL tools, and APIs.
• Practical experience applying AI/ML and prompt engineering for LLMs to automate quality processes, extract insights from unstructured documents, or create assistant workflows.
• Strong data validation, data modeling, and data governance understanding.
• Excellent communication and data storytelling skills; able to translate technical findings into concise recommendations for executives.
• Experience in a regulated environment (healthcare, life sciences, medical devices, or similar) strongly preferred.
• Demonstrated ability to work cross‑functionally and manage vendor/IT relationships.

• Certifications in data analytics, machine learning, or quality management.
• Prior experience with global operations or multi‑regional regulatory frameworks.

• 3‑4 years relevant experience; independently manages projects and provides expert input, recognized expert, leads complex programs with high autonomy.

• Analytical thinking, accuracy, attention to detail, numerical skills.
• Planning and organizing, project management, stakeholder alignment.
• Statistical knowledge, data modeling, visualization skills, automation
• Vendor and cross‑functional collaboration, training and documentation abilities.

• Proficiency with Microsoft Office and web‑based applications.
• Familiarity with automation and orchestration tools; experience deploying AI/ML models into production.
• Language: strong written and spoken English.

• Ensure ongoing compliance with company processes, regional/local legislation, and external regulations.
• May be required to perform other duties as assigned; role can involve regional and global activities