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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:
publication , Data Science, Machine Learning, Research, Computer Science, Data Analysis, Writing, Laboratory, Research Skills, Bioinformatics
Skills:
Machine Learning, Bash Scripting, Python, Data Analytics, Linux, R, Precision Health, Ai, Biomedical Data Science
Skills:
Machine Learning, Artificial Intelligence, Natural Language Processing, Devops Tools, Computer Vision, Generative AI, data pipeline management, Cloud solution architecture, Agentic AI, Conversational AI, Agile software development methodologies, Large Language Models
Skills:
Machine Learning, Metadata Management, Data Management, Power Bi, Tableau, Data Science, MLops, Data Lake, Data Governance, Qliksense, Python, Etl, Data Strategy, Statistics, Data Robot, R, AutoML
Skills:
Api Development, Cloud deployment, Gcp, Docker, Python Programming, Flask, FastAPI, Azure, Kubernetes, AWS, LLMs, vector databases, Pinecone, FAISS, RAG pipelines
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