Experienced Biostatistician, Clinical Data Science & AI

Are you genuinely excited about turning clinical data into published science, and how agentic AI is reshaping that work from hypothesis generation all the way to a finished poster? Then this role in Clinical Data Science at ALK could be your next career challenge.

The position involves developing allergy immunotherapy treatments that modify the immune system's response to allergens rather than just treating symptoms. This role exists to find what is still worth telling and bring it to the scientific community.

Working closely with Medical Affairs, you will turn our concluded and legacy studies, on their own and paired with publicly available real-world data, into credible evidence that lands at congresses, in journals, and with the wider scientific community. This is life cycle management at its most scientific: not maintaining what already exists but actively finding what our data can still credibly support and bringing it to publication.

The work runs from ideation to finishing output. You collaborate with Medical Affairs on which stories are worth telling, work out what the data can credibly support, design and run the analysis, and deliver the abstract or poster, or co-create a manuscript. Part of that is recognizing when an idea has already been tried, when the data cannot answer it, or when an analysis path would not lead anywhere defensible.

What makes the role different is how the work gets done. Agentic AI has reached a point where it is genuinely useful across the evidence cycle: making sense of clinical data, ideating, generating, and pressure testing hypotheses, writing analysis programs and scripts, producing tables, figures, and draft text. We would like this role to use those capabilities hands on, and to partner with our Data & AI Engineer to explore how AI-augmented approaches can scale this kind of evidence generation.

What you will be doing

Be Medical Affairs' main point of contact for data analyses, visualisations, communications, and publications.

Ideate high-level evidence questions with Medical Affairs and take the strongest ones from idea through to a finished abstract or poster or help shape a manuscript.

Take end-to-end ownership of requested and co‑identified evidence opportunities, potentially across our assets.

Bring methodological robustness, so our published evidence holds up to regulators, payers, and the wider scientific community.

Align across functions, working closely with Medical Affairs, Biometrics, Data Management, and our Medical & Science function.

Structure the work so it is reproducible and reusable beyond a single project, from how data is prepared to how analytical workflows are built.

Use AI augmentation where it adds value day to day, so your time goes to ideation, methodology, and the calls that need scientific judgment.

Help us imagine and build a more ambitious agentic approach to mining our legacy data with our Data & AI Engineer.

Your Profile

You have a background in biostatistics, epidemiology, pharmacoepidemiology, health data science, or a closely related quantitative field, ideally to PhD level.

We are looking for:

A publication record in the biomedical space, ideally including conference output such as posters and abstracts.

Hands‑on experience analyzing clinical or real‑world data, such as health registry data.

Comfort outlining and executing analyses, and familiarity with methods such as meta‑analysis, pooling, or subgroup analyses. Reading a statistical analysis plan (SAP) and working in clinical teams is a plus.

Fluency in SAS, R, or Python, and comfortable enough in others to read and work across them.

Comfortable in an AI‑assisted environment, ready to use agentic tools in daily work.

Someone who cares about the storytelling side, turning an analysis into a poster or abstract that catches the audience's attention.

A plus: knowledge of allergy, immunology, respiratory, or another therapeutic area relevant to chronic or immune‑mediated disease.

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

For further information regarding the position please contact Thomas Stranzl, Senior Director, Clinical Data Science on telephone +45 61911103.

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