Own the cleaning, anonymisation and structured governance of healthcare data, and contribute to the production and quality assurance of medical large-model datasets, safeguarding both domain accuracy and regulatory compliance.
Responsibilities
Clean, anonymise and structure multimodal healthcare data, including clinical text and medical imaging;
Help define annotation guidelines and run quality checks for medical datasets, safeguarding data accuracy and compliance;
Work alongside algorithm engineers and medical experts to continuously improve data production and governance workflows.
Requirements
Bachelor's degree or above, preferably in medicine, biomedical engineering, computer science or a related field;
Familiar with data processing workflows, with strong logical analysis and documentation skills;
Detail-oriented and patient, with a strong sense of responsibility and a collaborative mindset.
