We are seeking a skilled Data Engineer to support the lifecycle of real-world clinical and imaging data, driving insights for high-impact research programs.
In this role, you will collect and ingest large volumes of RWD, perform quality checks, build data pipelines, clean and transform raw data, and work closely with Data Scientists to prepare specific curated subsets for analysis.
The ideal candidate will have 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 communication skills, and ability to work independently and manage multiple data workflows.
A background in medical data, imaging (DICOM), clinical research, or pharmaceutical environments is a plus.