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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).
Job Responsibility:
Develop a framework for multimodal early response assessment in radiotherapy
Assess the usability of clinical data, radiological imaging data, and patient-reported outcome data for the prediction of radiotherapy response and clinical outcome for lung cancer
Establish a robust data collection, storage, and management framework
Clinically validate oesophageal sparing in thoracic proton therapy through early response assessment during a secondment at Massachusetts General Hospital (MGH)
Fill our data ecosystem with life and create solutions together with our cross-functional teams and customers
Play a central role in a project focusing on understanding client needs, the definition of data collection protocols, and the development of FHIR resources
Ensure compliance with regulatory standards and apply agile methodologies to drive project success
Collaborate with a multidisciplinary team of medical doctors, physicists, and data scientists at LMU Radiation Oncology
Requirements:
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
Knowledge in product & requirements management
What we offer:
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