Sr Asst Manager, Data Intelligence AI
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Job Summary/strong/pp style=margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
The Senior Data Analyst / AI Engineer will work closely with clinical domain experts, stakeholders, and IT teams within the Division of Informatics amp; Data (DID) to design, build, and operationalise AI-powered solutions, to perform simulation modelling and solve optimisation problems. This role bridges the gap between hands-on model development and strategic solution architecture, with a strong emphasis on cloud-native AI engineering and the deployment of scalable, production-grade models to improve patient care and health services delivery. /pp style=margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serifstrong
Main Duties and Responsibilities/strong/pul style=margin-bottom:0.0cm;margin-top:0.0pxli style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Lead the end-to-end development of AI solutions - from data extraction, cleaning, and preprocessing through to model training, evaluation, and deployment on cloud infrastructure (e.g., AWS, Azure, or Hospital Private Cloud). This includes designing and implementing cloud-native data pipelines and MLOps workflows to ensure models are reliably versioned, monitored, and maintained in production environments. /lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Work closely with clinicians, pharmacists, and other healthcare professionals, to translate domain requirements into analytical solutions, drive adoption of model outputs into clinical workflows, and conduct regular reviews of deployed models to ensure continued relevance and performance./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Identify opportunities to integrate AI capabilities across functions and contributing to the development of a coherent, institution-wide data science strategy./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Able to perform simulation modelling and solve optimisation problems, applying techniques such as discrete-event simulation, linear/integer programming, or metaheuristic methods to support operational and clinical decision-making./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
To increase the visibility of analytic work through journal publications and conference presentations, seek research collaborations and funding, and conduct training and knowledge-sharing sessions on AI, cloud computing, and analytics./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Mentor of junior data scientists and analysts is a key part of the role./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
General compliance, risk management, and administrative responsibilities apply as required./lili style=margin:0.0cm 0.0cm 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Participate actively in organisational development and quality improvement, act as a change agent at both hospital-wide and departmental levels, and be able to work beyond routine office hours during exigencies such as infectious disease outbreaks./li/ulp style=margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serifstrong
Job Requirements/strong/pul style=margin-bottom:0.0cm;margin-top:0.0pxli style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Degree or Masters in Data Science, Statistics, Computer Science, Computer Engineering, or equivalent disciplines with extensive use of data for analysis is required. /lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serifA minimum of 3 years of experience in the development and implementation of data science solutions in a healthcare setting is expected. /lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Advanced skills in statistical modelling, machine learning, and deep learning, complemented by hands-on experience in AI engineering - including model serving, containerisation (e.g., Docker, Kubernetes), and CI/CD pipelines./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Strong proficiency in cloud platforms, including experience with managed ML services such as SageMaker, Azure ML, etc./lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Strong programming skills in Python and/or R/lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Hands-on experience with FlexSim simulation software will be value-added/lili style=margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Ability to design and execute complex experiments, manage large-scale data projects, and think strategically about solution architecture is expected./lili style=margin:0.0cm 0.0cm 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif
Strong communication skills to liaise between technical and clinical teams are essential./li/ul