Data Engineer - Clinical Research
This is a fantastic opportunity to work in a collaborative, remote environment on a long-term global clinical research initiative.
As a Data Engineer, 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.
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
* Document data sources, processing steps, and quality control procedures
Ideal Candidate:
* 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
About the Role:
This is a chance to be part of meaningful work with long-term potential. The ideal candidate will have strong technical skills, excellent communication skills, and the ability to work independently.
What We Offer:
A challenging and rewarding role in a dynamic environment, with opportunities for professional growth and development.