- Singapore
DYNAMIC HUMAN CAPITAL PTE. LTD. Hiring! Full Time Senior Assistant Manager in , Earn up to SGD 6,000 - Ricebowl
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Job Description
Responsibilities
Job Summary
We are seeking an experienced Data Intelligence & AI professional to lead the development and deployment of AI-powered solutions, advanced analytics and simulation models to enhance patient care and healthcare operations.
Key Responsibilities
Lead end-to-end AI solution development, including data extraction, preprocessing, model training, evaluation and cloud deployment.
Develop cloud-based data pipelines and MLOps workflows to ensure reliable model performance and monitoring.
Collaborate with clinicians, pharmacists and IT teams to translate operational and clinical needs into practical AI solutions.
Perform simulation modelling and optimisation to support clinical and operational decision-making.
Drive AI integration initiatives, research collaborations and contribute to data science strategies.
Present research findings through publications and conferences, and conduct knowledge-sharing sessions.
Mentor junior data scientists and analysts.
Job Requirements
Degree or Master's in Data Science, Statistics, Computer Science, Computer Engineering or related disciplines.
Minimum 3 years of experience developing and implementing data science solutions, preferably in healthcare.
Strong knowledge of statistical modelling, machine learning and deep learning.
Hands-on experience in AI engineering, model deployment, Docker, Kubernetes and CI/CD pipelines.
Proficiency in cloud platforms such as AWS or Azure, including SageMaker or Azure ML.
Strong programming skills in Python and/or R.
Experience with FlexSim simulation software will be an advantage.
Strong analytical, project management and stakeholder communication skills.
Ability to work closely with both technical and clinical teams.
EA Personnel Name: Joyce Ng
EA Personnel No: R2095235
EA License No: 12C6253
We are seeking an experienced Data Intelligence & AI professional to lead the development and deployment of AI-powered solutions, advanced analytics and simulation models to enhance patient care and healthcare operations.
Key Responsibilities
Lead end-to-end AI solution development, including data extraction, preprocessing, model training, evaluation and cloud deployment.
Develop cloud-based data pipelines and MLOps workflows to ensure reliable model performance and monitoring.
Collaborate with clinicians, pharmacists and IT teams to translate operational and clinical needs into practical AI solutions.
Perform simulation modelling and optimisation to support clinical and operational decision-making.
Drive AI integration initiatives, research collaborations and contribute to data science strategies.
Present research findings through publications and conferences, and conduct knowledge-sharing sessions.
Mentor junior data scientists and analysts.
Job Requirements
Degree or Master's in Data Science, Statistics, Computer Science, Computer Engineering or related disciplines.
Minimum 3 years of experience developing and implementing data science solutions, preferably in healthcare.
Strong knowledge of statistical modelling, machine learning and deep learning.
Hands-on experience in AI engineering, model deployment, Docker, Kubernetes and CI/CD pipelines.
Proficiency in cloud platforms such as AWS or Azure, including SageMaker or Azure ML.
Strong programming skills in Python and/or R.
Experience with FlexSim simulation software will be an advantage.
Strong analytical, project management and stakeholder communication skills.
Ability to work closely with both technical and clinical teams.
EA Personnel Name: Joyce Ng
EA Personnel No: R2095235
EA License No: 12C6253
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