Part-time clinical data scientist (70-80%) (m/f/d)

The German Cancer Research Centre (DKFZ) is one of the largest cancer research centres in Europe. “Research for a life without cancer” is our mission and for this our world-class scientists work together with all employees. We investigate how cancer is created, identify cancer risk factors and look for new strategies that prevent people from suffering from cancer. We develop new methods that allow tumours to be diagnosed more precisely and cancer patients to be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This makes our daily work so meaningful and exciting. Together with university partners at seven renowned partner sites, we have founded the German Consortium for Translational Cancer Research (DKTK). We are looking for the Working Group ''Digital Health Science'' at the DKTK partner location Frankfurt/Mainz at the closest possible time:n Clinical:n Data Scientist:in (m/w/d) in parttime (70-80%). Reference number: 2026-0015 The Working Group ''Digital Health Science'' is located at the Institute of Digital Medicine and Clinical Data Sciences (IDMKD) at the Fachbereich 16 (Medizin) at the Goethe-Universität Frankfurt (Workplace Campus Niederad). Headed by Prof. Janne Vehreschild focuses on data-based and digital medicine. A systematic expansion of access and use of health data for research and patient care and a link between data-based and medical research is being pursued. The research group “Federated Inference Systems” at the Institute deals with the federal, statistical analysis of clinical analysis data of cancer patients. In the context of multicentric studies, data from different locations are analyzed without a cross-site data transfer taking place.

The successful candidate is responsible for the supervision, planning and implementation of own research projects in the field of clinical data sciences, in particular for the implementation of inference-statistic analyses of clinical data and biosamples of cancer patients:in the DKTK. This includes the following activities: Development, implementation and validation of statistical and machine learning-based methods, in particular for the scientific phenotyping of clinical processes of cancer patients: inside and outcome prediction Experimental and project planning, in particular data purification/data curation and feature engineering (e.g. algorithm implementation for the augmentation of clinical history data of relevant features) Scientific evidence, existing strategies, theoretical approaches and their assessment of their applicability, taking into account patent literature Implementation of (in-silico) experiments and investigation of clinical-epidemiological cancer data with the aim of data validation and development of standardized interpretations with regard to newly implemented analytical methods (e.g. machine learning-based survival analysis) Generating and testing work hypotheses, interpretation of research results Documentation and publication of research results in journals and book contributions as well as presentation of results at lectures and specialist congresses Evaluation of data by means of statistical analysis software (e.g. R/Rstudio and/or Python), documentation of data processing steps (by means of Git and MS Office programs) and production of graphics, presentations and posters

Completed academic studies in epidemiology, medicine, computer science, mathematics, social sciences or a comparable discipline A completed, relevant promotion is advantageous, but not a prerequisite Knowledge of the application of statistical analysis methods Knowledge of the application of R or comparable software Knowledge of machine learning methods are advantageous, but no requirement Qualification for scientific work (e.g. promotion, but not necessarily required) Very good knowledge of German and English

Excellent framework conditions: state-of-the-art infra structure and capacity for inter­national exchange at top level 30 days off Flexible working times Compensation according to TV-L including occupational pensions and benefits Possibility of mobile work and part-time work Family friendly working environment Continuing to work: completed German-land job ticket Develop your full potential: targeted offers for your personal development promote your talents Our company health management offers a comprehensive range of services for your well-being