We are seeking a Data Engineer to support the full lifecycle of real-world clinical and imaging data.
Key Responsibilities:
* Collect and ingest large volumes of real-world data, including medical imaging and related annotations
* Perform detailed quality checks to ensure accuracy, completeness, and consistency
* Build and maintain data pipelines to structure and prepare complex datasets
* Clean, transform, and normalize raw data for downstream research analysis
* Work closely with Data Scientists to prepare specific curated subsets for focused analysis
* Document data sources, processing steps, and quality control procedures
Requirements:
* 3–7 years of experience as a Data Engineer or similar role
* Strong proficiency in Python and SQL
* Experience working with large-scale data pipelines
* Clear and confident communication skills in English
* Ability to work independently and manage multiple data workflows in parallel
Nice to Have:
* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments