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We are seeking a Principal Analyst to support our drive towards value creation and strategic decision-making through innovative Artificial Intelligence and Machine Learning solutions. You will build prototypes and scalable solutions, develop machine learning models, robotic process automation and visualisation platforms that enable data-driven insights for better patient outcomes and financial sustainability.
You will establish data analytics support for clinical and financial initiatives including value-based care, choosing wisely programmes, patient reported outcome measures, capitation payment models, population health management and Electronic Health Records (EHR) integration, whilst providing technical advisory to analysts.
You will lead commissioned data analytics projects to deliver insights and recommendations, collaborate with cross-functional teams and regional health stakeholders, provide training on analytics tools to institutional teams, and assist with additional projects as assigned to advance the cluster's healthcare transformation objectives.
Job Requirements:
Job ID: 150792611
Skills:
Machine Learning, Statistical Modelling, Spss, Python, MATLAB, Sql, R, Stata, Simulation Models
Skills:
Algorithms, Machine Learning, Data Structures, Python, Agent framework development, LLM fundamentals, RAG optimization, SFT for LLMs, RLHF
Skills:
Machine Learning, Deep Learning, Nlp, Evaluation, RLAIF, Prompting, Agent Workflows, Model Alignment, Multimodal Learning, MLLM, Supervised Fine-tuning, Representation Learning, Inference, Deployment, reinforcement learning, Large Model Training, Llm, Cv, intelligent agents, Chain-of-thought Style Reasoning, Fine-tuning, Retrieval Augmented Generation, RLHF
Skills:
data wrangling , Rsa, Qlik Sense, Agile Development Methodologies, Sql, Data Visualisation, Tensorflow, Pytorch, Docker, Kubernetes, Python, DevSecOps practices, Microservices Architecture, Podman
Skills:
Machine Learning, Deep Learning, Pytorch, MLops, Python, DeepSpeed, LLMOps, Megatron-LM, Distributed Training Systems, Ray, Pre-training Pipelines, LLM Post-training Methodologies, FSDP, Transformer-based Architectures