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A leading healthcare institution is seeking a Data Engineer to enhance AI-driven research through effective data management. You will be responsible for data cleaning, structuring, and linking clinical datasets while collaborating with researchers and IT teams to improve usability for healthcare applications. The ideal candidate will possess strong analytical skills and experience in the healthcare domain.
You will play a critical role in making high-quality, research-ready data available to support translational and AI research through data engineering initiatives such as data cleaning, structuring, and standardisation. You will assist in mapping clinical datasets to standardised frameworks such as the OMOP Common Data Model, implementing Natural Language Processing (NLP) techniques for unstructured data processing, and contributing to the de-identification and secure linkage of clinical and operational datasets for multimodal and cross-cohort studies.
You will work with principal engineers to develop and refine de-identification frameworks, assist in securing data linkage, and the automate analytical workflows to support multimodal and cross-cohort research studies. You will use strong analytical skills and collaborate with researchers, data scientists, and IT teams to enhance data usability for AI-driven healthcare research.
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