Senior Validation Engineer: AI Governance for Clinical Data

Cari; Søborg, Aalborg; Remote; DKK 651,000 - 957,000; Full time

Job summary

Novo Nordisk in Søborg or Aalborg is seeking a Senior Validation Engineer to ensure AI and data science workflows in clinical studies perform as intended. You will design and run manual and automated tests, investigate defects and build the test automation framework behind them.

You will document findings, validate system architecture, APIs and data-processing pipelines, and collaborate with data scientists, IT solution owners and AI governance teams to maintain audit-ready evidence.

Qualifications

• A degree in computer science, data science, engineering, mathematics or a related discipline, or equivalent professional 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, including software architecture, APIs, integrations, execution environments and data-processing workflows, with experience in Microsoft Azure and Databricks.
• An understanding of risk-based validation and data integrity, and the ability to judge whether test evidence supports a system’s intended use.
• A proactive, investigative approach and clear written documentation of technical findings.
• Motivation to build expertise in GCP-regulated clinical data science, AI evaluation and emerging data modalities.

Responsibilities

• Design, execute and document manual tests (for example via the user interface) and automated tests in Python or similar, producing reproducible evidence that workflows and supporting IT/AI systems perform as intended.
• Evaluate system architecture, integrations, cyber security and data integrity, and develop technical and validation documentation, from design specifications and IT risk assessments to user requirements and validation plans, so deliverables stay audit ready.
• Build the team’s test automation framework with reusable tests, fixtures, test-data generators, output checks and reporting components, and integrate them into CI/CD workflows to catch failures early. Keep test code under version control and peer review.
• Assess open-source packages for intended use, considering purpose, complexity, origin, maintenance and community exposure. Screen components and dependencies for security, licensing and known defects, document required actions and recommend alternatives where needed.
• Test workflows involving omics, imaging and digital-device data, covering input and output integrity, transformations, annotations, audit trails and reproducibility.
• Work with AI specialists to evaluate models against the agreed context of use, reference datasets, metrics and acceptance criteria, including bias, robustness and human-interaction scenarios. Separate software defects from model limitations or variability, and document the evidence under applicable AI governance.

Skills

Manual testing

Automated testing

Python

Test design

Debugging

Data analysis

Documentation

Education

Bachelor's degree or equivalent

Tools

Git

CI/CD

Azure

Databricks

Job description

Novo Nordisk in Søborg or Aalborg is seeking a Senior Validation Engineer to ensure AI and data science workflows in clinical studies perform as intended. You will design and run manual and automated tests, investigate defects and build the test automation framework behind them.

You will document findings, validate system architecture, APIs and data-processing pipelines, and collaborate with data scientists, IT solution owners and AI governance teams to maintain audit-ready evidence.