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Key Responsibilities:
. Support the design, implementation, and day-to-day coordination of hospital-at-home pilot projects and service initiatives.
. Collect, manage, and analyse clinical, operational, and patient experience data to evaluate programme outcomes.
. Engage clinicians, administrators, community partners, and other stakeholders to optimise workflows and care pathways.
. Prepare reports, presentations, and research outputs, and contribute to grant applications, publications, and continuous improvement activities.
Requirements:
Bachelor's (for Research Assistant equivalent) or Master's (for Research Associate equivalent) Degree in Computer Science, Data Science, or related field
Relevant experiences in similar role / technical hands-on experience in algorithm and software development
Familiarity with Python programming and machine learning
Good written and oral communication skills
Competent in soft skills / general personality traits e.g. information visualization, interaction design
Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills
Entry level candidates are welcome to apply
Job ID: 148620577
Skills:
Machine Learning, Software Engineering, Data Analysis
Skills:
publication , Data Science, Machine Learning, Research, Computer Science, Data Analysis, Writing, Laboratory, Research Skills, Bioinformatics
Skills:
Machine Learning, system integration, Data Privacy, automation, Analytics, generative AI, ethical AI, data APIs, AI governance, AI solutions
Skills:
Database Systems, Deep Learning, Git, Machine Learning, Programming Language, Docker, Linux environments
Skills:
Machine Learning, Erp, Tensorflow, Pytorch, Predictive Analytics, AWS, Google Cloud, Deep Learning, Keras, Azure, Edge AI, IoT platforms, Plc, AI models, Historians, SCADA, Generative AI, LLMs, Prescriptive Analytics, Dcs, Condition-Based Maintenance, RAG, Multi-agent systems, Mes, Reliability Analytics
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