At a Glance
- Tasks: Lead efforts in transforming health data into standardised models and improve ETL pipelines.
- Company: Join the prestigious University of Oxford and be part of groundbreaking research.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Work alongside experts in a dynamic and innovative research setting.
- Why this job: Make a real impact on health outcomes using your data science skills.
- Qualifications: MSc or PhD in a relevant field with experience in health datasets.
The University of Oxford is seeking a Data Scientist to lead scientific efforts in transforming UK Biobank health and lifestyle data into standardised models with a focus on OMOP. The successful candidate will collaborate closely with data engineers to design and improve OMOP ETL pipelines.
Applicants must possess a relevant MSc or PhD and demonstrate expertise in linked electronic health records and significant experience in analysing large health datasets. This role includes a salary range of £39,424 to £47,779 per annum.
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