Position: 3 Positions: Postdoctoral Scientist for Digital Oncology in full-time or part-time (85%)
Department: Junior Research Group Digital Biomarkers for Oncology
Code number: 2021-0205
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research.
So far, AI-based diagnostics have only entered clinical and especially oncological practice to a very limited extent. In the KI Translation Initiative (KTI), our interdisciplinary working group aims to optimize algorithms generated by means of deep learning as diagnostic assistance systems for clinicians in order to enable long-term "tailor-made" care for cancer patients, e.g. with malignant melanoma, breast cancer or prostate cancer. We use image analysis algorithms to analyze hematoxylin-eosin-stained tissue sections in order to enable statements about tumor properties as biomarkers.
The main focus of the project is to achieve an improved generalization ability of such algorithms on "foreign" data - for example on tissue sections from another clinic. In addition, interpretability / explainability of the "black box" CNN for the user will have to be increased in order to enhance usefulness and acceptance of such applications in the clinic. Model uncertainty will also be included in order to provide a further measure of the reliability of the diagnosis made by the algorithm. In addition, the project will also investigate whether the use of XAI methods may serve to identify new structures on histological slides that can also be detected by human observers and thus could also be employed by pathologists to examine tissue sections.
To support our team at DKFZ Heidelberg, we are looking for postdoctoral scientists to help develop and scientifically present the newly generated or improved, digital biomarkers.
You are jointly responsible for the scientific strategy to improve the existing and envisaged artificial intelligence-based assistance systems. You will work in our interdisciplinary team and promote the (further) scientific development and coordination of the project. You will generate your own scientific publications and develop your own scientific profile. You are located at the interface between clinic or pathology and data science / computer science.
- Successfully completed university studies (master / diploma) and doctorate / PhD, preferably in the fields of biomedicine or computer science / data science
- Ideally, first scientific publications in international journals
- Passion for “Research for a Life without Cancer”
- Scientific thinking and writing
- Fluent in English, ideally also in German
- Ability to work both in a team and independently
- Talent for organization as well as a high degree of flexibility and commitment
- Ideally, statistics skills
- Enjoying scientific work
- Keen interest in personal scientific development
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
- Access to the DKFZ International Postdoc Program
Earliest possible start date: as soon as possible
Duration: The position is limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
Application deadline: 29.07.2021
Dr. Eva Krieghoff-Henning
Phone +49 176-78503473
Please note that we do not accept applications submitted via email.