We’re looking for a Data Engineer to join a long-term global clinical research initiative!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 6 to 12+ months, but is expected to extend for several years.In this position, you’ll support the full lifecycle of real-world clinical and imaging data — from acquisition and quality control to processing and organization — helping to enable data-driven insights for high-impact research programs.✅ What You'll Do:Collect and ingest large volumes of real-world data (RWD), including medical imaging and related annotationsPerform detailed quality checks to ensure accuracy, completeness, and consistencyBuild and maintain data pipelines to structure and prepare complex datasetsClean, transform, and normalize raw data for downstream research analysisWork closely with Data Scientists to prepare specific curated subsets for focused analysisDocument data sources, processing steps, and quality control procedures Ideal Profile:3–7 years of experience as a Data Engineer or similar roleStrong proficiency in Python and SQL (required)Experience working with large-scale data pipelinesClear and confident communication skills in English (written and verbal)Ability to work independently and manage multiple data workflows in parallelSelf-motivated and eager to work in a fast-paced, research-oriented environment Nice to Have (Not Required):Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments Remote opportunity | English fluency requiredThis is a chance to be part of meaningful work with long-term potential. If this sounds like a match, apply through the link. Let’s connect!