[What the role is] We are seeking a highly motivated and skilled Assistant Manager for AI & Data Analytics to support the Applied Sciences Group of HSA. The candidate will primarily focus on AI/machine learning applications and data integration projects across forensic and analytical laboratories, providing advanced technical expertise and recommendations to senior management. The ideal candidate should have strong AI/ML background, data integration experience, and the ability to work collaboratively with cross-functional laboratory teams. [What you will be working on] To develop and deploy AI/machine learning solutions for diverse laboratory applications across forensic and analytical sciences, including but not limited to automated data interpretation, voice-to-report generation, pattern recognition, predictive modelling, and intelligent workflow optimisation, and chromatographic interpretations. To design and implement data integration solutions connecting LIMS data, instrument data, and external databases to create unified data ecosystems for analytical insights. To automate manual laboratory workflows using Python/R scripts and develop process optimisation solutions to enhance efficiency and reduce manual intervention in routine tasks. To create and manage dashboards and data visualisations using tools such as Tableau, Power BI, or similar platforms, ensuring clean and structured data presentation for both technical and nontechnical stakeholders. To provide centralised data analytics support to all laboratories, bridging the gap between ad hoc data analysis and systematic expertise. To manage cloud-based analytics data architecture and AI deployment pipelines for scalable machine learning solutions and maintain version control systems for collaborative development. [What we are looking for] Essential: Background in computer science, data science, statistics, mathematics, or related field with strong AI/ML focus 3 to 5 years of hands-on experience in machine learning and AI applications Proficiency in Python and R for data analysis and ML model development Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Strong experience in data integration from multiple sources and systems Experience with SQL for data extraction and database management Knowledge of data visualisation tools (Tableau, Power BI, or similar) Ability to work collaboratively across multiple laboratory divisions Advantageous to have: Experience with computer vision, natural language processing, and generative AI technologies Familiarity with laboratory information management systems (LIMS) in analytical/forensic environments Experience with cloud platforms (AWS, Azure, Google Cloud) for ML deployment Knowledge of MLOps practices including Docker, Kubernetes, and CI/CD pipelines Experience with big data technologies and data warehousing solutions Understanding of forensic science or analytical chemistry applications Experience with laboratory information management systems (LIMS) in the hospital, biopharma, or chemical testing industry http://jobs.careers.gov.sg The Singapore Public Service plays a key role in the economic growth, progress and stability of Singapore by formulating and implementing government policies, as well as providing key public services. Whether you are a fresh graduate joining the workforce or an experienced professional, the Singapore Public Service offers a great variety of job opportunities for you. The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Be part of the team that shapes the future of Singapore. Log on and take your first step towards a career that matters! Need help? Please click here for assistance. Our team will contact you shortly!
CONTRACT
mid
4/10/2026
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