We are seeking a talented Data Engineer to support the full lifecycle of real-world clinical and imaging data.
This is an exciting opportunity for a hands-on, proactive professional who thrives in a collaborative, remote environment.
The role will initially span several months but is expected to extend for several years.
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 Profile:
* 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
* 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