University hospital operating clinical research, diagnostics, and patient care across 190+ specialties
Universitätsklinikum Erlangen is a 10,000+ person academic medical center in central Germany running large-scale clinical research, biomarker discovery (Parkinson's, inflammatory bowel disease, bladder cancer), and digital health initiatives. The tech stack reveals a healthcare organization mid-transition: heavy reliance on SAP ecosystem (IS-H, S/4HANA) for clinical and administrative workflows, paired with research-grade bioinformatics (PyTorch, TensorFlow, Nextflow, Scanpy, Seurat) — indicating dual operating modes of clinical delivery and computational research. Active hiring is almost exclusively healthcare-focused (245 of 280 roles), with minimal engineering depth (7 roles), suggesting they are scaling clinical capacity faster than building internal tech capability.
Notable leadership hires: Assistant Department Head, Deputy Head Neuro Surgery
Universitätsklinikum Erlangen (UKER) is a government-owned academic medical center founded in 1815, headquartered in Erlangen, Germany. It operates as one of the largest employers in the Mittelfranken region with more than 10,000 staff across clinical, research, and administrative functions. The institution is embedded in the Medical Valley EMN cluster and operates 190+ clinical and research specialties. Current operational priorities include clinical research programs (data-driven studies, biomarker discovery), digital transformation of drug supply and patient management systems, and SAP infrastructure migration to S/4HANA. The organization emphasizes research excellence and clinical innovation alongside patient care delivery.
Primary: SAP IS-H and SAP S/4HANA (clinical and financial systems), Microsoft Office suite, Docker, Kubernetes. Research: Python, R, PyTorch, TensorFlow, Nextflow, Scanpy, Seurat, Bioconductor. Clinical data: HL7 FHIR, DICOM. Version control and collaboration: Git, Jira, Confluence.
Active projects: clinical research programs (data-driven studies), biomarker discovery for Parkinson's disease and inflammatory bowel disease, muscle-invasive bladder cancer research, SAP S/4HANA migration, digital drug supply processes, patient management system implementation, and an AI platform (Empalli).
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