We are seeking an analytically driven and intellectually curious Data Scientist to join the Advance Solutions Team within the DELOS Research Group. This role will provide technical expertise in real-world data analytics, advanced statistical methods, and data science to support cross-functional research initiatives.

Requirements

Lead and execute agile sprints with stakeholders from all business domains, gathering requirements and delivering actionable data solutions.
Harmonize and integrate patient-level data across business lines.
Partner closely with project owners to ensure data, tools, and AI solutions are scalable, fit-for-purpose, and impactful.

Serve as the point person for high-priority, cross-functional initiatives.
Contribute to the organization’s long-term data/AI/tool strategies by sharing hands-on knowledge and workflow improvements.
Drive engagement, adoption, and change management by actively collaborating with teams from early research through commercial and M&A.
Design and execute real-world data research projects utilizing healthcare databases.

Develop and implement complex SQL queries and data engineering pipelines to define patient cohorts and structure data for downstream analysis in R, Python, and Qlik Sense dashboards.
Apply advanced statistical and machine learning methods to extract insights from large, complex healthcare datasets.
Build, maintain, and optimize analytical tools and Qlik Sense dashboards that deliver actionable insights to key stakeholders.

Proactively identify new data science approaches and methodologies that improve the team’s ability to answer research and business questions.
Work with stakeholders to define research questions, requirements, timelines, objectives, and success criteria for data science initiatives.
Ensure data science projects are conducted on time, accurately, within budget, and in accordance with financial and ethical compliance guidelines.