Data architect for clinical and research data

Data Engineer for Real-World Clinical and Imaging Data

This is an exceptional opportunity to work in a collaborative, remote environment on a long-term global clinical research initiative. As a Data Engineer, you will be responsible for the full lifecycle of real-world clinical and imaging data — from acquisition and quality control to processing and organization — enabling data-driven insights for high-impact research programs.

**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 Candidate Profile:
* A minimum of 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.
* 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.

This is a chance to be part of meaningful work with long-term potential.