Senior Assistant Manager, Artificial Intelligence Office (Contract)
Job ID:
10687
Job Function:
Administration
Institution:
National University Health System
Overview
The Data Engineer will support the SIMFONI H1 Data Curation and EHR Harmonisation workstream, focusing on the extraction, transformation, and harmonisation of clinical data. The role will support the extraction of the research cohorts through NUHS systems for transfer to MOH enTRUST, and the subsequent harmonisation of the NUHS dataset to the OMOP Common Data Model (CDM), including the OMOP_NOTE table.
Key Responsibilities
- Develop and support data extraction and transformation workflows for the SIMFONI H1 cohort.
- Prepare clinical datasets for transfer from NUHS systems to MOH enTRUST.
- Map and transform source clinical data into the OMOP CDM structure.
- Support harmonisation and validation of structured and clinical note data.
- Perform data quality checks and troubleshoot data mapping, transformation, and integration issues.
- Work closely with clinical, data, and technical teams to deliver the required datasets and project milestones.
Job Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Health Informatics or a related discipline.
- Preferably 5 years or more of relevant experience in data engineering, data integration, ETL or large-scale data processing.
- Strong proficiency in SQL and experience developing data extraction, transformation and ETL/ELT workflows.
- Experience working with large and complex datasets, including data quality checks, validation and troubleshooting.
- Good analytical, problem-solving and communication skills, with the ability to work independently and collaborate across multidisciplinary teams.
- Experience working with healthcare, clinical or Electronic Health Record (EHR) data.
- Familiarity with clinical data models, preferably OMOP CDM.
- Experience with clinical terminology mapping, structured and unstructured clinical data, or healthcare data harmonisation.
- Proficiency in Python or other data-processing languages would be advantageous.
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