Transform Real-World Data for Research Breakthroughs
This is a unique opportunity to support the full lifecycle of real-world clinical and imaging data, from acquisition and quality control to processing and organization. You will be working on enabling 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:
* 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 are passionate about data engineering and research, we encourage you to apply.