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  • AI Engineer (f/m/d) in Health Innovation

    2022-01-17 Deutsches Krebsforschungszentrum (DKFZ) Heidelberg AI Engineer (f/m/d) in Health Innovation - Deutsches Krebsforschungszentrum (DKFZ) - Logo
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AI Engineer (f/m/d) in Health Innovation

Published
2022-01-17
Application deadline
2022-02-10
Deutsches Krebsforschungszentrum (DKFZ)
Heidelberg
DKFZ - Logo

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 (www.dkfz.de).

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.
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 Cluster at the German Cancer Research Center (DKFZ) is seeking a

AI Engineer in Health
Innovation

(Ref-No. 2022-0007)

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 AI Health Innovation Cluster is an activity within "Heidelberg Mannheim Health & Life Science Alliance".

Description:
We are offering a scientific position in the highly dynamic and exciting area between AI and medical research. You will be part of an interdisciplinary and vibrant research environ­ment that advances machine learning and information processing. You will work on developing open source software that delivers state-of-the-art methodology and software components for AI in health. The program provides state-of-the-art technical infrastructure, a tight industrial collaboration network, and also individual support towards career development. 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.

Requirements:
We are looking for candidates holding a degree (Master or comparable) in computer science, mathematics, engineering, physics or related quantitative sciences (e.g. bioinformatics or medical informatics). Analytical and software development skills are essential. Experiences with deep learning and associated software stacks are beneficial. Communication skills and the ability to work in a multidisciplinary inter­national team will be expected.

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 latest degree certificates (originals, transcripts and translations if applicable) and optionally a publication list and up to two letters of recommendation.

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
The position is initially limited to 2 years.
The position can in principle be part-time.

For further information please contact
Prof. Dr. Klaus Maier-Hein, phone +49 (0)6221/42-2354.
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