We are seeking a skilled Data Engineer to support the full lifecycle of real-world clinical and imaging data.
This role will involve collecting, ingesting, and processing large volumes of data, including medical imaging and related annotations.
The ideal candidate will have strong proficiency in Python and SQL, as well as experience working with large-scale data pipelines.
They will also possess clear and confident communication skills in English, both written and verbal.
A background in medical data, imaging (DICOM), clinical research, or pharmaceutical environments is a plus.
This opportunity allows for long-term growth and the chance to be part of meaningful work with potential for extension.
* Please note that this is a remote opportunity requiring English fluency.
About the Role
In this position, you'll work closely with Data Scientists to prepare specific curated subsets for focused analysis. You will also document data sources, processing steps, and quality control procedures.
Your Skills and Experience
We're looking for candidates with 3-7 years of experience as a Data Engineer or similar role. A strong understanding of data pipelines and ability to work independently are essential.
Key Responsibilities
1. Collect and ingest large volumes of real-world data (RWD), including medical imaging and related annotations.
2. Perform detailed quality checks to ensure accuracy, completeness, and consistency.
3. Build and maintain data pipelines to structure and prepare complex datasets.
4. Clean, transform, and normalize raw data for downstream research analysis.
5. Document data sources, processing steps, and quality control procedures.
About Us
This is an exciting opportunity to join a global clinical research initiative. As a Data Engineer, you'll play a critical role in enabling data-driven insights for high-impact research programs.