Position: Computer Scientist
Department: Radiology
Code number: 2021-0119
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.
A position as computer scientist for the work package AP6 entitled „Intelligent Pattern Recognition / MultiOmics“ of the recently launched CLINIC 5.1 initiative of the Departement of Urology at the University Hospital Heidelberg, in collaboration with DKFZ and multiple partners including industry, is available at the German Cancer Research Center (DKFZ). CLINIC5.1 is funded by the Federal Ministry for Economic Affairs and Energy for two years. The AP6 focuses on development and validation of a radiological annotation platform for diagnostic prostate MRI and digital pathology and of novel machine learning and artificial intelligence analysis pipelines and tools for fully-automated analysis of prostate MRI, prostate digital pathology and radiogenomic assessment. The CLINIC5.1 main office, which is coordinated by Prof. Markus Hohenfellner, is located at the Department of Urology at the University Hospital Heidelberg, and is in close coordination with Prof. David Bonekamp, the PI for the AP6 initiative at DKFZ.
In order to develop the AP6 software platform and demonstrator, and artificial intelligence tools under consideration of medical device law and utilizing classical machine learning and deep learning into a state-of-the-art infrastructure for the fully-automated and integrated assessment of prostate MRI and digital pathology data, we are looking for a computer scientist.
Job description:
We are looking for a team member with substantial experience and/or interest in developing, deploying, and maintaining the medical imaging annotation and analysis platform of the AP6 infrastructure and its integration with the CLINIC5.1 virtual twin systems, in part with utilization of medical device law software development practices. The successful candidate will be part of an interdisciplinary research, development, and data management team to develop and apply a diverse range of state-of-the-art technologies. Tasks include:
- Development of infrastructure concepts and monitoring strategies for data annotation and analysis
- Developing, deploying, monitoring, and maintaining prototype demonstrator functionality (such as annotation platform, visualization modules, lesion and organ segmentation modules and MultiOmics tools), also with regard to medical device law software development
- Creating easily deployable virtual infrastructures that can be shared with other host institutions
- Implementing system security measures and performing penetration testing
- Supporting software developers and users to deploy software and analyze data
Requirements:
- Master’s degree in computer science or similar technical background
- Experience in systems administration and scientific computing
- Previous experience in machine and deep learning
- Proficiency in UNIX-based systems and relevant programming languages such as Python
- Interest in setting up and using software interfaces and structured data formats (e.g. to the Joint Imaging Platform of the DKTK)
- Interest in and ideally previous experience with medical device law software development
- Previous experience of infrastructure in a life science or medical informatics context is beneficial
The ideal applicant should have demonstrated the ability to work independently and creatively. The candidate should have excellent communications skills and be able to articulate clearly the technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners.
We offer:
- 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
Earliest Possible Start Date: as soon as possible
Duration: The position is limited to 2 years.
The position can in principle be part-time.
Application Deadline: 19.05.2021
Contact:
apl. Prof. Dr. David Bonekamp
Phone +49 (0)6221/42-2520
Please note that we do not accept applications submitted via email.
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