Position: 2 AI Data Engineers

Department: AI Health Innovation Cluster

Code number: 2022-0185

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 newly established “AI Health Innovation Cluster” in the Rhine-Neckar Metropolitan Region combines the excellence and expertise of several renowned research and health institutions to concentrate and excel the existing research potential in modern health sciences. DKFZ, EMBL, the Max Planck Institute for Medical Research, Heidelberg University and the University Clinics Heidelberg and Mannheim as well as the Central Institute for Mental Health have joined forces to promote cutting-edge research for AI applications in medicine and health. 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. The AI Health Innovation (AIH) Cluster is an activity within the "Heidelberg Mannheim Health & Life Science Alliance".

As part of the AIH Cluster, we seek to establish a core competence team that will foster novel innovations in AI-centered data solutions. A core goal of these activities is to establish a secure research environment that enables scientists to carry out AI-based analytics in a controlled environment. We are thus looking for AI data engineers who are both keen to support the scientists in their project work and to work visionary and conceptually on how AI can be used to its full potential for health. We look forward to your application, if you can see yourself making a big difference at the interface of AI and medicine, joining the large international community across the partner institutions of the AI Health Innovation Cluster. 

 

Job description:

As part of this lively and dynamic network of excellent partners from versatile backgrounds, your specific responsibilities in the Data Technology Competence Center of the cluster would be:

  • Development of technical concepts and AI Data Infrastructure
  • Contributions to the development (back-end / front-end) of a data infrastructure
  • Contributions to and development of IT security concepts for the operation of data infrastructures for genomic and imaging data
  • Design and specification of features, aligned with international standards
  • Interaction with other technical working groups within the AI Health Innovation Cluster and associated activities
  • Participation in international networks
  • Collaboration with local and international developers

We offer you an interesting position 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.

Your possibilities:

  • Be involved in the shaping of innovative IT infrastructures enabling innovative personal medicine approaches in Germany
  • Get exposed to a plethora of fields ranging from AI-guided clinical decision making to modern web development technologies
  • Work within 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 European Genome-phenome Archive (EGA) and ELIXIR shaping future of genomics across borders
  • Widen your expertise with extensive possibilities of training programs, seminars and conferences

Requirements:

  • Master's degree in computer science, medical informatics, bioinformatics, computational biology or similar background with a focus on bioinformatics or data science and preferably relevant work experience in IT environments
  • Experience in IT and bioinformatics, preferably including the development, coordination and operation of data infrastructures, AI, software development or cloud computing
  • Hands-on experience with workflow development and genomics data analysis
  • Solid knowledge of IT security principles and expertise in the adaptation of IT systems for GDPR compliance is a prerequisite
  • Excellent communication skills in English and German are necessary

Please submit your complete application (in English) as one single PDF file via our online application portal. This application document should comprise your curriculum vitae, a short statement of interests, a copy of the degree certificates (incl. transcripts and translations, if applicable).

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

Important notice:

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 positions are initially limited to 2 years with the possibility of prolongation.

The positions can in principle be part-time.

Application Deadline: 06.07.2022

Contact:

Prof. Dr. Oliver Stegle
Phone +49 (0)6221/42-3598

Please note that we do not accept applications submitted via email.

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.

Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

To apply for a position please use our online application portal (https://www.dkfz.de/en/stellenangebote/index.php).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.