Data Engineer - Real-World Data Specialist
As a highly skilled Data Engineer, you will play a pivotal role in supporting the full lifecycle of real-world clinical and imaging data.
* You will be responsible for collecting and ingesting large volumes of real-world data (RWD), including medical imaging and related annotations.
* A key aspect of this role is performing detailed quality checks to ensure accuracy, completeness, and consistency.
* You will design and maintain data pipelines to structure and prepare complex datasets for downstream research analysis.
* Clean, transform, and normalize raw data to facilitate research insights.
* Collaborate closely with Data Scientists to prepare specific curated subsets for focused analysis.
* Document data sources, processing steps, and quality control procedures.
Skill Requirements:
* 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.
Prior Experience in Medical Data, Imaging (DICOM), Clinical Research, or Pharmaceutical Environments is a Plus.
This position offers a chance to contribute to meaningful research initiatives. If you are motivated by the prospect of working on high-impact projects, we encourage you to apply.