Data Engineering Role: Support Global Clinical Research
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 multiple months, but is expected to extend for several years, enabling data-driven insights for high-impact research programs.
Key Responsibilities:
* Collect and ingest large volumes of real-world data, 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 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.
Remote Opportunity | English Fluency Required
This is a chance to be part of meaningful work with long-term potential. If you are a skilled Data Engineer looking for a challenging and rewarding role, please apply through the link below.