Data Engineer: Unlocking Insights for High-Impact Research
This is an exceptional opportunity to contribute to a long-term global clinical research initiative, working with real-world data and medical imaging.
The role will span several years, supporting the full lifecycle of data acquisition, quality control, processing, and organization. You'll help enable data-driven insights for impactful 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.
Requirements:
* 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 the Opportunity:
This is a remote opportunity that requires English fluency. If you're passionate about contributing to meaningful work with long-term potential, we'd love to connect with you.