Unlock Meaningful Insights
This role offers a unique opportunity to contribute to high-impact research programs by supporting the full lifecycle of real-world clinical and imaging data.
Key responsibilities include:
* Collecting and ingesting large volumes of real-world data, including medical imaging and related annotations
* Performing detailed quality checks to ensure accuracy, completeness, and consistency
* Building and maintaining data pipelines to structure and prepare complex datasets
* Cleaning, transforming, and normalizing raw data for downstream research analysis
* Working closely with Data Scientists to prepare specific curated subsets for focused analysis
* Documenting data sources, processing steps, and quality control procedures
The ideal candidate will possess strong proficiency in Python and SQL, experience working with large-scale data pipelines, and clear communication skills in English. Self-motivation and ability to work independently are essential in this fast-paced environment.
Required Skills and Qualifications:
* 3–7 years of experience as a Data Engineer or similar role
* Strong proficiency in Python and SQL (required)
* Experience working with large-scale data pipelines
* Clear and confident communication skills in English (written and verbal)
* Ability to work independently and manage multiple data workflows in parallel
Benefits:
* Remote opportunity with flexibility
* Long-term potential for career growth