Multimodal early response assessment in radiotherapy
- Planned secondments: University Medical Center Groningen (The Netherlands), University of Navarra (Spain) and Boston Massachusetts General Hospital (US)
- PhD program: LMU Munich, Faculty of Medicine
Project description
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.
For more information concerning the research project please contact:
Philipp Freislederer
Candidate profile
Doctoral Candidate at Brainlab
The qualified candidate has:
- 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
The candidate profits from our additional offers:
- A mutually-supportive, international team
- Meaningful work with a lasting impact on medical technology
- 30 vacation days, plus December 24th and December 31st
- Flexible working hours as well as hybrid work model within Germany
- Bike leasing via cooperation partner “BikeLeasing”
- 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
Brainlab
PROJECT BENEFICIARY
Brainlab – Transforming Digital Medical Technology. Brainlab has been innovating for over a quarter century in the areas of surgery and radiation therapy, developing hardware and software technology to help healthcare providers, physicians and their patients fight cancer and other conditions of the brain and body.