Senior Validation Engineer, AI Governance & Clinical Data

Cph Ai Hub; Aalborg; On-site; DKK 651,000 - 957,000; Full time

Job summary

Novo Nordisk is seeking a Senior Validation Engineer to ensure AI/clinical data science workflows are reliable and auditable. You will design and run tests, implement automation, and verify data integrity in regulated environments.

You will collaborate with data scientists, AI specialists and software teams, contributing to GCP-regulated clinical data work and emerging data modalities while traveling 4–5 times yearly for collaboration and conferences.

Qualifications

• Degree in computer science, data science, engineering, mathematics or related discipline, or equivalent experience.
• Practical experience in manual and automated testing (Python or similar), test design, debugging and defect investigation.
• Experience with Git, code review, CI/CD, reusable test automation components and reproducible data analysis.
• Strong IT understanding of software architecture, APIs, integrations, execution environments and data-processing workflows, with Azure and Databricks experience.
• Understanding of risk-based validation and data integrity, and ability to judge whether test evidence supports intended use.
• Proactive investigative approach with clear written documentation of findings.
• Motivation to build expertise in GCP-regulated clinical data science, AI evaluation and emerging data modalities.

Responsibilities

• Design, execute and document manual tests (UI) and automated tests in Python or similar, producing reproducible evidence that workflows and IT/AI systems perform as intended.
• Evaluate system architecture, integrations, cyber security and data integrity; develop technical and validation documentation from design specifications to validation plans.
• Build the team’s test automation framework with reusable tests, fixtures, data generators and reporting; integrate into CI/CD workflows and keep code under version control.
• Assess open-source packages for purpose, complexity and maintenance; screen components for security and licensing; document actions and suggest alternatives.
• Test workflows involving omics, imaging and digital-device data, covering input/output integrity, transformations, annotations, audit trails and reproducibility.
• Collaborate with AI specialists to evaluate models against context of use, datasets, metrics and acceptance criteria; document evidence under AI governance.

Skills

Manual testing

Automated testing

Python

Git

CI/CD

Azure

Databricks

Data integrity

GCP regulatory

AI evaluation

Education

CS / data science / engineering / mathematics degree or equivalent

Tools

Git

Code review

CI/CD

Test automation components

Reproducible data analysis

Azure

Databricks

Job description

Novo Nordisk is seeking a Senior Validation Engineer to ensure AI/clinical data science workflows are reliable and auditable. You will design and run tests, implement automation, and verify data integrity in regulated environments.

You will collaborate with data scientists, AI specialists and software teams, contributing to GCP-regulated clinical data work and emerging data modalities while traveling 4–5 times yearly for collaboration and conferences.