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 German Cancer Research Center (DKFZ) is advertising
Up to 14 Staff Scientist Positions in the Heidelberg AI Health Innovation Cluster of the Heidelberg Mannheim Health & Life Science Alliance

(Ref-No. 2022-0476)
Apply for a Staff Scientist position within the «AI Health Innovation Cluster».

The «AI Health Innovation Cluster» in the Rhine-Neckar Metropolitan Region combines the excellence and expertise of renowned research and health institutions to foster synergies and to accelerate 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 the „Heidelberg Mannheim Health & Life Science Alliance“ ( https://www.health-life-sciences.de/ ).

The Staff Scientist Program of the cluster offers positions in the technical field of the cluster in the highly dynamic and exciting area between AI and medical research. The two first cohorts of fellows started in the summer of 2022, and January 2023 respectively. You will be part of the third group of fellows in an interdisciplinary and vibrant research environment that is pioneering research in machine learning and information processing. Taking part in the development of a diverse range of state-of-the-art methodology and software components, you have the possibility to dive into computing and software engineering, or to work with machine learning and cloud technologies. The program provides state-of-the-art technical infrastructure and networks, but 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.

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). Communication skills and the ability to work in a multidisciplinary international team will be expected. Analytical and software development skills are essential. Experiences with either machine learning and associated software stacks, high-performance computing environments or cloud technologies are beneficial.
These are positions in a research environment that does not require a PhD. Please note that the AIH Cluster does not offer PhD positions. We look forward to receiving your application regardless of whether you wish to pursue a PhD in the future or not.
Application procedure:

The application will be two-stage. In the first stage, please submit your complete application (in English) as one single PDF file named lastname, firstname via our online application portal. This application document should comprise your curriculum vitae, publication list, a one-page statement of research interests, a copy of your degree certificates (originals, transcripts and translations, if applicable) and up to two letters of recommendation. In a second stage, upon invitation, you will have the opportunity to attend a two-day symposium (hybrid format) and to meet the PIs and get to know available projects. If you are recommended by a PI to proceed, you will be invited to present your past research experience in front of a selection panel.

For more information about the AI Health Innovation Cluster, see the project web page ( https://www.aih-cluster.ai/#projects ), where you can also find examples of projects that have already been selected for funding. Candidates who are selected by the committee will be offered employment at the coordinating institution of the respective project. The selection process is coordinated by DKFZ.

The AIH Cluster offers:

A fully-funded position with competitive compensation at one of the seven participating institutions according to the applicable regulations of the respective institution
A large international community of researchers across the partner institutions
State-of-the-art research facilities and infrastructure
Self-managed career development with training courses and career support
An active research network in which you can share ideas and meet colleagues

For further information, please visit: https://www.aih-cluster.ai/

The positions are initially limited to 18 months, maximum until 31.12.2024.
An extension is potentially possible.

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.

For further information please do not hesitate to contact the Scientific Coordinator of the AI Health Innovation Cluster (Dr. Daniela Beyer, phone +49 (0)174/2699356).

The institutions are 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.

Deutsches Krebsforschungszentrum (DKFZ) http://www.dkfz.de http://www.dkfz.de https://files.relaxx.center/kcenter-google-postings/kc-3481/logo_google.png

2023-01-29T14:10:06.285Z FULL_TIME
YEAR null

Heidelberg 69120 Im Neuenheimer Feld 280

49.4143686 8.6723038

Mannheim 68167 Theodor-Kutzer-Ufer 1-3

49.4923927 8.4873912