Data Scientist / Biostatistician (all genders) - AF-B-STEP

At the University Heart and Vascular Centre (UHZ) of the University Medical Center Hamburg-Eppendorf (UKE), we redefine cardiovascular research by embedding large-scale clinical and translational science directly into our everyday clinical care. Our ecosystem combines deeply phenotyped cohort studies with more than 10,000 participants, comprehensive biobanking, longitudinal follow-up, and patient-centred research enabled by remote monitoring and connected wearables. We lead and contribute to multinational trials that shape clinical guidelines.

AF-B-STEP is a newly launched EU-IHI consortium co-ordinated by our centre. It tackles one of the most consequential open questions in arrhythmia research: how atrial fibrillation burden should inform diagnosis, risk stratification, and treatment – with direct relevance for FDA and EMA regulatory decisions. The consortium unites 18 partners from academia, industry, and patient organisations across Europe and Canada, integrating data from 60+ clinical trials and 500,000 patients. More at afburden.org.

Your role. You architect and operate the data backbone of the consortium, and lead analyses from one of the largest harmonised cardiovascular datasets: AF-BOLD, combining 200,000+ patient-years of AF burden and health outcome data from 60+ trials. You design and implement pipelines for semi-automated harmonisation, quality assurance, and AI-driven anomaly detection across heterogeneous clinical data sources – structured records, cardiac device remote-monitoring data, digital ECGs, wearable time series, and insurance claims – into a unified, FAIR-compliant resource. You coordinate the core data science team across the consortium, support mentoring junior researchers, and develop modern metadata management strategies with semantic enrichment (SNOMED CT, LOINC) and AI-supported extraction from clinical documents. You work directly with data owners from leading academic institutions and industry partners, publish findings relevant for both clinical practice guidelines in the field and regulatory decisions of governing agencies in top-tier journals, and shape research that informs treatment decisions across the globe.

This position is a full-time (100% of the regular weekly working hours) fixed-term position for an initial period of three years due to third-party funding. An extension is anticipated. Part-time work may be possible.

Our Offer

Attractive compensation according to TVöD/VKA

Secure employment with meaningful work and respectful collaboration

Comprehensive onboarding and open knowledge exchange within the team

Extensive training and further education programs at our UKE Academy for Education and Careers

Opportunities to contribute to our “UKE INside” personnel policy through cross-professional and cross-hierarchical projects

Sustainable travel: subsidies for the Deutschlandticket as a job ticket, and Dr. Bike bicycle service

Family-friendly working environment: cooperation on childcare, free vacation childcare, advice for employees with relatives in need of care

Excellent health, wellness, and sports programs

A wide range of dining options in our staff restaurant, with additional choices available at the “Health Kitchen” cafés, bistros, and an on-site supermarket

Your Profile

Masters degree or PhD in Data Science, (Bio)Informatics, (Bio)Statistics, or a closely related quantitative field

Minimum of two years of post-graduate professional experience, clearly documented in your CV (student jobs, working student positions, and internships do not qualify)