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.
The AI Health Innovation (AIH) Cluster combines the excellence and expertise of several renowned research and health institutions to concentrate and excel the existing research potential in modern health sciences. The main aim of the program is to foster research at the forefront of AI-based research by systematically interlinking biomedical data with excellent AI approaches for innovative application in the health sector. Together with the Cluster Co-Lead Prof. Oliver Stegle and the Division of Computational Genomics and Systems Genetics (https://www.dkfz.de/en/bioinformatik-genomik-systemgenetik) at the German Cancer Research Center in Heidelberg, Germany, the goal of this role is to develop a data science strategy at DFKZ together with its partners. This task will entail substantial collaboration with key data initiatives in the region, including the local unit of the Laboratory for Learning and Intelligent Systems (https://www.ellis-life-heidelberg.eu).
We offer a stimulating work environment and the advertised position will be embedded within the coordination team of the AIH Cluster and closely connected to its competence teams in data science and software development as well as scientific projects across partner institutions.
Develop and realize a scientific strategy for data science in the Rhine-Neckar Metropolitan Region
Shape and contribute to interdisciplinary projects in AI & data science
Develop concepts and scientific solutions together with the Software and Data Competence Centers of the AI Health Innovation Cluster
Scientific project management for Data Science @ DKFZ
Coordination of technical solutions to data science questions, including data governance and IT infrastructures
We offer a position for an experienced candidate at the interface between leading initiatives in biomedical data science with a significant degree of independence and a strong perspective for a successful future career path.
Be involved in the shaping of innovative IT infrastructures enabling innovative personal medicine in the Heidelberg area and nationally
Get exposed to a plethora of fields ranging from AI-guided clinical decision-making to modern web development technologies
Work with an interdisciplinary team of experts bringing state-of-the-art biomedical research closer to clinics and patients
Take part in national and international organizations such as genomDE, the Global Alliance for Genomics and Health (GA4GH), the German Human Genome-Phenome Archive (GHGA), the AI Health Innovation Cluster (AIH) and the European Laboratory for Learning and Intelligent Systems (ELLIS).
Widen your expertise with extensive possibilities of training programs, seminars and conferences
Affinity for data and medicine, preferably with a PhD in computer science, medical informatics, bioinformatics or (computational) biology
Alternatively, a MSc or equivalent qualification with complementary years of relevant experience in IT environments
Excellent project management skills proven in an academic or industrial setting and excellent communication skills in English are a prerequisite
Ability to work independently and creatively, articulate technical needs precisely, set clear goals and work within an interdisciplinary setting, while communicating with other external partners
This role is also suitable for someone who is transitioning from a (scientific) role in data science or computational biology to science management.
Please submit your complete application as one single PDF file via our online application portal. The application document should comprise a cover letter, your CV, reference letters (if available) and copies of your degree certificates (incl. transcripts and translations, if applicable).
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
The DKFZ is subject to the regulations of the Infection Protection Act (IfSG). As a consequence, only persons who present proof of immunity against measles as well as against COVID-19 may work at the DKFZ.
Tagged as: Computer Science, Data Science
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate...Apply