Job Description
We are seeking a highly skilled Data Engineer to support the full lifecycle of real-world clinical and imaging data.
About the Role
This is an exciting opportunity for a hands-on, proactive, and collaborative individual to join our team and contribute to high-impact research programs.
Key Responsibilities:
* Collections and ingests large volumes of real-world data (RWD), including medical imaging and related annotations.
* Perform detailed quality checks to ensure accuracy, completeness, and consistency.
* Builds and maintains data pipelines to structure and prepare complex datasets.
* Cleans, transforms, and normalizes raw data for downstream research analysis.
* Works closely with Data Scientists to prepare specific curated subsets for focused analysis.
* Documents data sources, processing steps, and quality control procedures.
Ideal Candidate Profile
We are looking for a candidate with 3–7 years of experience as a Data Engineer or similar role, strong proficiency in Python and SQL, experience working with large-scale data pipelines, clear and confident communication skills in English, ability to work independently and manage multiple data workflows in parallel, and self-motivated and eager to work in a fast-paced, research-oriented environment.
Nice to Have
A background in medical data, imaging (DICOM), clinical research, or pharmaceutical environments would be beneficial.
What We Offer
This is a remote opportunity requiring English fluency. The ideal candidate will have the opportunity to be part of meaningful work with long-term potential.