PhD Program: Multimodal early response assessment in radiotherapy

In addition to therapy guidance based on objective diagnostic assessment, patient reported outcome measures (PROMs) may also serve as reliable indicators for early response assessment and even an optimal stopping in radiotherapy. The main objective of the project is to develop a framework for multimodal early response assessment in radiotherapy. Within this framework, the usability of clinical data, radiological imaging data, and patient-reported outcome data for the prediction of radiotherapy response and clinical outcome will be assessed for lung cancer. In parallel, the project aims at the establishment of a robust data collection, storage, and management framework. Furthermore, oesophageal sparing in thoracic proton therapy will be clinically validated through early response assessment during a secondment at Massachusetts General Hospital (MGH).

This framework will build upon existing technology for cancer registries and will include imaging data such as MRI, CT and PET-CT, radiotherapy plans, dose distributions and other patient data including lab values from blood samples, molecular profiles, imaging-derived parameters, and PROMs.

As a doctoral candidate for Healthcare Data Modelling, you will fill our data ecosystem with life and create solutions together with our cross-functional teams and customers. Embedded within the multinational EU-funded RAPTOR+ consortium, your project will be part of an industry-academia collaboration between Brainlab and the LMU University Hospital, Department of Radiation Oncology. At Brainlab you will be part of a growing interdisciplinary team that creates a patient-privacy-centered ecosystem for data-driven healthcare and rethinks all aspects from data capture and visualization to analysis. You will play a central role in a project focusing on understanding client needs, the definition of data collection protocols, and the development of FHIR resources. Additionally, you will ensure compliance with regulatory standards and apply agile methodologies to drive project success. At LMU Radiation Oncology, as the academic partner, you will collaborate with a multidisciplinary team of medical doctors, physicists, and data scientists.

Planned secondments: University Medical Center Groningen (The Netherlands), University of Navarra (Spain) and Boston Massachusetts General Hospital (US).

For more information, please refer to the official website: Recruitment - RAPTOR Plus

• A Master’s degree in the medical field, health/medical informatics, digital health, computer science, data science or comparable qualification
• Skills and knowledge in the area of data engineering, data analytics or software engineering, with special emphasis on healthcare terminologies (FHIR, SNOMED CT, LOINC, DICOM, SQL) are a plus
• The ability to translate complex contexts and solutions into clear and concise visions and strategies
• An analytical mindset and creativity to develop reliable solutions
• A well-organized, efficient and clearly structured work style
• Outstanding presentation and communication skills in English and German
• Knowledge in product & requirements management

• A mutually-supportive, international team
• Meaningful work with a lasting impact on medical technology
• Flexible working hours as well as hybrid work model within Germany
• Parking garage and safe underground bike storage
• Award-winning subsidized company restaurant and in-house cafes
• Variety-rich fitness program in our ultra-modern 360m2 company gym
• Regular after work, team, and company events
• Comprehensive training and continuing education opportunities

Please note that applications can only be accepted and processed if uploaded on the official website Recruitment - RAPTOR Plus. If you only apply via the Brainlab career page, your application is not complete. Please be aware of the eligibility criteria. The deadline for submission is the end of 8th of February 2026 (CET).

Contact person: Elisabeth Karro