Experience the thrill of shaping the future of clinical research as a Data Engineer. This role is an excellent opportunity to join a long-term global initiative and make a lasting impact.
In this position, you will be responsible for supporting 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.
Key responsibilities include:
* Collecting and ingesting large volumes of real-world data (RWD), including medical imaging and related annotations
* Performing detailed quality checks to ensure accuracy, completeness, and consistency
* Building and maintaining data pipelines to structure and prepare complex datasets
* Cleaning, transforming, and normalizing raw data for downstream research analysis
* Working closely with Data Scientists to prepare specific curated subsets for focused analysis
* Documenting data sources, processing steps, and quality control procedures
Requirements:
To succeed in this role, you should possess:
* 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
* Self-motivation and eagerness 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 is a remote opportunity that requires English fluency.
If you are passionate about making a meaningful contribution to the world of clinical research, apply now.