Senior Validation Engineer

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

Senior Validation Engineer

Department: AI Governance

Location: Søborg or Aalborg

Your impact begins here

As Senior Validation Engineer, you will make sure the AI and data science workflows used in clinical studies do what they are meant to do, and can prove it. You will design and run manual and automated tests, investigate defects and build the test automation framework behind them. Your evidence protects data integrity and patient safety, and gives clinical teams results they can rely on.

What you’ll bring

• 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.

Useful, but not essential

• Experience with R, and numerical or statistical testing.
• Experience with open-source security and licensing assessments.
• Experience with AI evaluation.

What you’ll do

• 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.

Who you’ll work with

You will join a validation team within AI & Digital Innovation, part of Research & Development.

Day to day, you will partner with data scientists, AI specialists, software developers, IT solution owners and platform teams. You will also work with data and AI governance colleagues and external partners. Close collaboration helps you agree acceptance criteria early, raise issues quickly and move from finding a defect to getting it fixed.

The role involves occasional business travel, typically 4–5 times per year, with trips lasting approximately 3–5 days. These visits will primarily support participation in conferences, knowledge-sharing events, and in‑person collaboration with local and cross‑functional team members. The travel is intended to strengthen team alignment, foster collaboration across sites, and support professional development through engagement with the broader scientific, AI, and validation communities.

What you can expect here

You will work on validation for clinical data science and AI, an area where expectations for evidence are rising and where you can build deep expertise in GCP‑regulated work, AI evaluation and emerging data modalities. You will grow through hands‑on practice and by learning alongside colleagues from science, development, validation and quality.

You will be trusted to take ownership, make your voice heard and shape how the team tests and automates. You will be supported to perform at your best, with clear expectations for the quality of your work.

What we offer

At Novo Nordisk, you’ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.

Salary

For this role, the Annual Base Salary ranges from 651,000.00 DKK to 956,900.00 DKK, corresponding to the level of the position.

Incentives and Benefits

The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area, and relevant market benchmarks.

Learn more about our Reward Philosophy: novonordisk/careers/working-at-novo-nordisk/total-rewards-benefits.html

Start now

Your impact begins today. If you are ready to make sure AI and data science in clinical research can be trusted, apply for the Senior Validation Engineer role by 17 November 2026. We review applications on an ongoing basis, so we encourage you as soon as possible.

Applications are reviewed on an ongoing basis, so we encourage you as soon as possible.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.