We’re looking for a Data Engineer to join a long-term global clinical research initiative!
This is a fantastic opportunity for a Data Engineer who is hands-on, proactive, and comfortable working in a collaborative, remote environment. The role will initially span 6 to 12+ months, but is expected to extend for several years .
In this position, you’ll support the full lifecycle of real-world clinical and imaging data — from acquisition and quality control to processing and organization — helping to enable data-driven insights for high-impact research programs.
✅ What You'll Do:
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
Document data sources, processing steps, and quality control procedures
Ideal Profile:
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
Self-motivated and eager to work in a fast-paced, research-oriented environment
Nice to Have (Not Required):
Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments
Remote opportunity | English fluency required
This is a chance to be part of meaningful work with long-term potential. If this sounds like a match, apply through the link. Let’s connect!