Transforming Data for Breakthrough Research
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We are seeking a highly skilled Data Engineer to join a global clinical research initiative. This is an exceptional opportunity for a hands-on, proactive professional to work in a collaborative, remote environment.
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The role will initially span 6 to 12+ months, with the potential to extend for several years. You will support the full lifecycle of real-world clinical and imaging data – from acquisition and quality control to processing and organization – enabling data-driven insights for high-impact research programs.
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Your Key Responsibilities:
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* 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.
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About You:
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* You have 3–7 years of experience as a Data Engineer or similar role.
* You possess strong proficiency in Python and SQL.
* You have experience working with large-scale data pipelines.
* You have clear and confident communication skills in English.
* You are able to work independently and manage multiple data workflows in parallel.
* You are self-motivated and eager to work in a fast-paced, research-oriented environment.
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Nice to Have:
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* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments.
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This is a chance to be part of meaningful work with long-term potential. If you are a motivated individual who thrives in a dynamic environment, we encourage you to apply through our link.