Job Title: Data Engineer Specialist
Synopsis
We are seeking an experienced Data Engineer to join our global clinical research initiative.
About the Role
This is a long-term opportunity for a skilled Data Engineer who is hands-on, proactive, and comfortable working in a collaborative environment. The initial duration of the role spans 6 to 12 months, with the potential to extend several years.
In this position, you will be responsible for supporting the full lifecycle of real-world clinical and imaging data, including acquisition, quality control, processing, and organization. Your work will enable data-driven insights for high-impact research programs.
Main 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
Requirements
To succeed in this role, you should possess the following skills and qualifications:
* 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
Preferred Skills
The following skills are desirable but not required:
* Experience with medical data, imaging (DICOM), clinical research, or pharmaceutical environments
Remote Opportunity
This is a remote opportunity requiring English fluency.