Universitätsklinikum Düsseldorf | Germany | 40xxx Düsseldorf | Temporary contract | Part time - flexible / Full time | Published since: 24.09.2026 on stepstone.de
Medical Documentalist Clinic for Hematology, Oncology and Clinical Immunology (m/f/d)
Universitätsklinikum Düsseldorf (UKD) is the largest hospital in the state capital and one of the most important medical centers in NRW. The 9,300 employees in UKD and subsidiaries are committed to the fact that over 45,000 patients can be treated in a stationary manner annually and that 270,000 can be provided outpatiently. The UKD stands for international excellence in healthcare, research and teaching as well as for innovative and safe diagnostics, therapy and prevention. Patients benefit from the intensive interdisciplinary cooperation of the 60 clinics and institutes. The special strength of the university clinic is the close interconnection of clinic and research for the safe application of new methods. At the UKD, tomorrow's medicine is created. Every day. As part of the innovative project KIMONA – AI-based message optimisation for cancer registers in NRW, the Klinik für Hämatologie, Onkologie und Klinische Immunologie is looking for one/one from 01.09.2026
in full time (100 % WAZ), terminated The aim of the project is to qualitatively improve cancer register messages by using artificial intelligence, to standardize processes and to increase the data quality sustainably. .
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Your tasks • Your profile • What we offer
Participation in the validation of AI-generated messages using medical documents Content examination of doctor's letters, findings and tumor documentation for reporting obligation according to oBDS Support in the coordination of reporting rules and the development of a standardized workflow Comparison of manually and automated cancer register messages Participation in the collection and evaluation of data quality (completeness, plausibility, remunerability) Cooperation with doctors, data scientists and the NRW regional cancer register in the pilot and introduction phase Documentation of test results for quality assurance of AI applications Support in training new processes for AI-based tumor documentation
Successfully completed training for the Medical Documentary*in Experience in tumor documentation in the clinical environment desirable Knowledge of oBDS reporting rule desirable Careful, structured and responsible functioning Interest in innovative AI-based processes in healthcare Communication skills and joy in interdisciplinary cooperation
Interesting tasks in a constantly evolving theme area A comprehensive incorporation of experienced and qualified teammates in a friendly and expertly-competent, interprofessional team Target-oriented individual development and training opportunities 38.5 weekly hours All public services, e.g. B. Additional occupational pension Price options Continuing and continuing training Daycare centre Personnel accommodation
Remuneration takes place according to TV-L in the pay group 9b, accounting for all periods of time according to the tariff regulations. The body shall be limited to 31.12.2028 under a third-party funding project. .
Location
 | Universitätsklinikum Düsseldorf | |
| 40225 Düsseldorf | ||
| Germany |
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