Scientific Assistant (m/w/d) in Biostatistics in Radiation Oncology

OncoRay – National Centre for Radiation Research in Oncology This place is to be filled in part-time with 30 hours per week until 31.01.2029. Remuneration is carried out in accordance with the classification rules of the public service collective agreement (TV-L) and is possible in the event of personal conditions in the remuneration group 13 . Cancer treatment is increasingly personalized, and radiation therapy – in particular proton therapy – offers a great potential to reduce side effects by particularly precisely protecting healthy tissue. In order for patients to make optimum use of these advances, intelligent tools are required to provide clear and comprehensible treatment options and their expected consequences. We are looking for a highly motivated person who contributes to the development of an AI-based clinical decision-making system. This is intended to predict individual risks of therapy-related side effects, compare photon and proton-based therapy approaches and support joint decision-making between medical personnel and patients.

Development and validation of models to predict side effects after exposure of brain tumors Investigation of model-explainability, uncertainty and out-of-distribution behaviour Development of intuitive visualizations to display personalized risk forecasts and treatment options Participation in the integration of prediction models into a functional decision-making system and support in its evaluation in a clinical pilot phase

Master's degree in Computer Science, Medical Physics, Biomedical Technology, Data Science, Human Computer Interaction or a related subject Very good programming knowledge (preferably in Python) Experience in machine learning, explainable AI, usability engineering or medical imaging Excellent communication skills and enthusiasm for interdisciplinary clinical research Very good English skills in word and writing Convinced on the whole line -

Remuneration: according to TV-L E13 (75 %), including annual special payment and occupational pensions Career & Development: numerous internal and external training offers, e.g. via the Carus Academy Holidays: 30 days a year Work–Life-Balance: Support by our family office in all situations, e.g. during the placement of local kita places, holiday programs or family care Health: extensive sports and movement opportunities in our modern health center as well as programs and advice on mental health and occupational health management