High-Impact Data Engineering Role:
This is an opportunity for a highly skilled Data Engineer to join a global clinical research initiative.
The ideal candidate will support the full lifecycle of real-world clinical and imaging data, ensuring accuracy, completeness, and consistency.
We're looking for someone who is hands-on, proactive, and comfortable working in a collaborative, remote environment.
The role will involve collecting and ingesting large volumes of data, building and maintaining data pipelines, cleaning and transforming raw data, and working closely with Data Scientists.
Key Responsibilities:
* Collect and ingest large volumes of real-world data (RWD), 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
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
Bonus Points:
* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments
About This Opportunity:
This is a chance to be part of meaningful work with long-term potential. If you're passionate about data engineering and want to make a difference, we'd love to hear from you.