Data Scientist, Clinical Data & AI Research Infra

Aalborg University; Aalborg; On-site; DKK 550,000 - 750,000; Full time

Job summary

Aalborg University seeks a Data Scientist to help establish Digital Heart, a cardiovascular data and AI research infrastructure developed with Aalborg University Hospital and other hospital partners.

The position is a full-time TAP for 3.5 years at Aalborg University, available from 1 November 2026, with opportunities to extend. You will collect clinical data within a secure TRE and support AI development for cardiovascular research.

Qualifications

• Master’s degree or equivalent experience in a related field.
• Experience building reliable data pipelines and working with complex clinical datasets.
• Experience with data quality, documentation and handling of sensitive data.

Responsibilities

• Coordinate clinical data extraction and secure transfer from participating hospitals.
• Develop and maintain workflows for importing, processing and linking imaging, biosignal and patient record data.
• Establish structured research datasets, databases and metadata documentation.
• Implement data quality checks and approved procedures for pseudonymisation and secure data handling.
• Deploy existing analysis and AI tools and support researchers in using the platform.

Skills

Python

SQL

data pipelines

DICOM/PACS

electronic patient records

container technologies

Education

Master’s degree in data science, computer science, biomedical engineering, health informatics or related field

Tools

DICOM/PACS

Job description

Aalborg University seeks a Data Scientist to help establish Digital Heart, a cardiovascular data and AI research infrastructure developed with Aalborg University Hospital and other hospital partners.

The position is a full-time TAP for 3.5 years at Aalborg University, available from 1 November 2026, with opportunities to extend. You will collect clinical data within a secure TRE and support AI development for cardiovascular research.