Real-World Data Expert
This is a fantastic opportunity to support the full lifecycle of real-world clinical and imaging data.
We're looking for a Data Engineer who is hands-on, proactive, and comfortable working in a collaborative, remote environment.
* The role will initially span several months, but is expected to extend for several years.
Responsibilities
Data Collection and Ingestion
* Collect and ingest large volumes of real-world data (RWD), including medical imaging and related annotations.
Data Quality Control
* Perform detailed quality checks to ensure accuracy, completeness, and consistency.
Data Pipelines and Analysis
* 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.
Documentation and Collaboration
* Document data sources, processing steps, and quality control procedures.
Requirements
Technical Skills
* Strong proficiency in Python and SQL.
* Experience working with large-scale data pipelines.
Personal Qualities
* 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
This is a chance to be part of meaningful work with long-term potential.