Clinical Data & AI Engineer

Can you build systems and agentic AI capability that connect study design, data collection, programming, analysis, and regulatory submissions into a modern, reproducible pipeline? Then this engineering and architecture role could be your next career challenge.

ALK develops allergy immunotherapy treatments that modify the immune system's response to allergens rather than just treating symptoms. Our clinical trials generate evidence that gets those treatments to patients. This position is in Clinical Data Science – part of Global Clinical Development.

We are hiring a Clinical Data & AI Engineer to build the systems and agentic AI capability that connect study design, data collection, programming, analysis, and regulatory submissions into a modern, reproducible pipeline. This is an engineering and architecture role at the center of how clinical evidence gets created. You will design and build things that work across the function, not sit behind a single model or a single tool. The aim is to change how the function works: more connected, AI-assisted, and reproducible, so people spend more of their time on the work that needs their judgment and less on the work that doesn't.

The landscape of tools is broad and evolving, from SAS, R, and Python to CDISC standards, emerging AI platforms, and agentic frameworks. Part of the job is navigating that landscape with a clear head, understanding what is production-ready, what is noise, and what fits our size and regulatory context.

What you will be doing

• Build data pipelines to consolidate and process clinical trial data from clinical data systems and external sources. Clean, reliable, well-governed data infrastructure is the foundation for everything else.
• Design governed agentic workflows for recurring processes across the function. You will be part of identifying how things currently work, mapping out processes with the people who do them, and figuring out where automation would genuinely help. Then you build it, with full auditability, traceability, and human oversight. You co-create with the team, show what is possible, and adapt together.
• Shape the technical architecture. You will be the technical voice in decisions about how we structure our computing environment, how we connect systems, and how we move from legacy workflows to governed, AI-enabled pipelines. Your recommendations will directly influence the function's direction.
• Evaluate, integrate, and build with the team. Work with data managers, statisticians, programmers, and clinical teams to identify where automation and better tooling add genuine value by supporting their processes and decision-making; assess what is suitable for a regulated clinical environment and what isn’t yet ready; bring curiosity for tools like Copilot, Claude, Databricks, and emerging agentic platforms, and the judgment to know where they fit. Ensure solutions are defensible to regulators and trusted by the team.

Your Profile
We are looking for:

• Someone who builds things end to end. You have designed and set up a system, a pipeline, a platform, a multi-step workflow, where you had to understand the architecture, not just contribute to a piece of it. You see how data sources, processes, people, and tools connect, and you build the infrastructure that holds them together.
• Solid engineering skills. Python is your primary language. You are comfortable with Git, write structured and maintainable code, and have experience with data platforms. You understand how to connect existing tools into an integrated system rather than building everything from scratch.
• Quantitative grounding. A background in statistics, mathematics, or a quantitative discipline helps you understand the work of the team around you. You do not need to be a statistician, but you should be comfortable in a team of them.
• Curiosity about regulated environments. GxP, audit trails, validation, data confidentiality. You may not have worked in this context before, but you are interested in understanding why traceability and governance matter. You see constraints as design requirements that make the system better.
• Collaborative and patient. You will work with experienced clinical data professionals. Some will be curious about what you bring. Others will want to see it working before they believe it. Both are reasonable. You earn trust by delivering things that work. You do not need a peer to validate your technical choices, but you actively seek out domain expertise from the people around you.

Your experience
You have a background as MSc in Data Science, Computer Science, Bioinformatics, Statistics, Engineering, or a related quantitative field. You follow what is happening in AI for life sciences and have a view on where it is going. What you have built matters as much as what you studied. Pharma or life sciences background is beneficial but not required.

Become a part of ALK
ALK is a global pharmaceutical company specialised in allergy immunotherapy. We provide an attractive working environment for individuals looking for both personal and professional development. We are driven by a high level of professionalism, integrity, an open-minded approach and contributing to an inspiring and fun working environment together with our colleagues.

Our offices in Denmark offer a green view of the DTU Science Park in Hoersholm. We believe that physical presence enforces strong teamwork and collaboration and creates success, so it is important that you enjoy coming to work at our site with a degree of flexibility to also work from home from time to time.

Apply
Apply by attaching your CV and a short letter of motivation, no later than 23 April 2026.

We commit to an inclusive recruitment process and equal opportunity for all our job applicants. Hence, we prefer that you do not add images in your application documents. We evaluate applications and call for interviews on an ongoing basis, so don't wait to apply! We reserve the right to take down the advert when we have found the right candidate.

Do you want to learn more about our company, we encourage you to visit us at www.alk.net. For further information regarding the position please contact Thomas Stranzl, Senior Director, Clinical Data Science, Global Clinical Development on telephone +45 61911103.

We are looking forward to hearing from you!