Senior AI Validation Engineer - Clinical Data

Novo Nordisk A/S; Søborg, Aalborg; Remote; DKK 651,000 - 957,000; Full time

Job summary

Novo Nordisk A/S in Denmark is seeking a Senior Validation Engineer to ensure AI and data science workflows in clinical studies operate as intended, with manual and automated testing and an auditable framework.

You will design tests in Python, review code, work with Azure and Databricks, and contribute to risk-based validation, data integrity and GCP-regulated data practices. Travel is occasional.

Qualifications

• Manual and automated testing experience (Python or similar).
• Experience with Git, code review, CI/CD, reusable test automation components.
• Strong IT understanding including APIs, integrations, data-processing workflows; Azure and Databricks experience.
• Understanding of risk-based validation and data integrity.
• Proactive, investigative approach and clear written documentation of findings.
• Motivation to develop expertise in GCP-regulated clinical data science and AI evaluation.

Responsibilities

• Design, execute and document manual tests and automated tests in Python or similar, producing reproducible evidence that workflows perform as intended.
• Evaluate system architecture, integrations, cyber security and data integrity; develop validation documentation from design specs to risk assessments and user requirements.
• Build the test automation framework with reusable tests, fixtures, data generators, and CI/CD integration; keep code under version control and peer review.
• Assess open-source packages for use, considering purpose, complexity, origin, maintenance and licensing; document actions and alternatives.
• Test workflows involving omics, imaging and digital-device data; ensure input/output integrity, transformations and reproducibility.
• Collaborate with AI specialists to evaluate models against context of use, datasets, metrics and acceptance criteria; document evidence under AI governance.

Job description

Novo Nordisk A/S in Denmark is seeking a Senior Validation Engineer to ensure AI and data science workflows in clinical studies operate as intended, with manual and automated testing and an auditable framework.

You will design tests in Python, review code, work with Azure and Databricks, and contribute to risk-based validation, data integrity and GCP-regulated data practices. Travel is occasional.