Position: Bioinformatic Coordinator
Department: AI Health Innovation Cluster
Code number: 2022-0357
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.
Earliest Possible Start Date: as soon as possible
Duration: The position is initially limited to 2 years, but maximum until 31.12.2024.
The position can in principle be part-time.
Application Deadline: 04.10.2022
Dr. Daniela Beyer
Phone +49 (0)174/2699356
Please note that we do not accept applications submitted via email.