Real-World Data Specialist
We are seeking a skilled professional to support the full lifecycle of real-world clinical and imaging data.
This opportunity is ideal for someone who is hands-on, proactive, and comfortable working in a collaborative environment. The role will initially span several months but is expected to extend for several years.
In this position, you'll be responsible for collecting and ingesting large volumes of real-world data, including medical imaging and related annotations.
Key Responsibilities:
* 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
Ideal Profile:
* 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
* Clear and confident communication skills in English (written and verbal)
* Ability to work independently and manage multiple data workflows in parallel
* Self-motivated and eager to work in a fast-paced, research-oriented environment
Nice to Have:
* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments
Remote Opportunity | English Fluency Required
This is a chance to be part of meaningful work with long-term potential.