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Computer Scientist - Group Leader, Cancer, Machine Learning (m/w/d)

Posted on Nov 23, 2019 by Deutsches Krebsforschungszentrum (DKFZ)

Not Specified, Germany
Immediate Start
Annual Salary
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) and the German Cancer Aid have entered into a long-term strategic partnership to establish the "National Cancer Prevention Center" as a cutting edge piloting structure providing impactful contributions to reduce the burden of cancer. The National Cancer Prevention Center, in a comprehensive approach, integrates prevention research, education and training, as well as evidence-based policy advice and outreach. Nationwide programs to prevent and control cancer will be pursued with a variety of partners and will also directly address each individual citizen.

Within the "National Cancer Prevention Center", a strategic partnership between German Cancer Aid and German Cancer Research Center (DKFZ), the following position is available at DKFZ at the earliest possible date: Group Leader
Digital Cancer Prevention (Ref-No. 2) We are now looking for a Group Leader in \"Digital Cancer Prevention\" to develop and implement innovative digital systems to engange society to participate in personalized cancer prevention and early detection measures. A further goal is the development of personalized consulting tools for citizens, which are to be evidence-based, validated and quality-assured. This includes the development and application of machine learning, data analysis and modelling techniques. Furthermore, the collected data should be made available for prevention research.

We are seeking a highly self-motivated and independent data scientist, who is passionated about cutting-edge digital health technologies and wants to maximise the impact we have on cancer prevention in Germany.
  • M. Sc. or higher degree in computer science, engineering, biomedical sciences, medicine or a related field
  • Experience in state-of-the-art data bases and handling of big data
  • Experience in machine learning and statistical inference using large data sets
  • Track record in developing data science methods and building successful digital products, e. g. web applications, games, apps or similar
  • Knowledge on current digital technology trends, e. g. smart wearables, digital displays, ideally in the context of digital health
  • Strategic thinking and excellent problem-solving skills
  • Experience with german / international data protection requirements
  • Excellent communication skills and fluent in German and English
  • Self-motivation, productivity and teamwork
  • Creativity and critical thinking to challenge ideas are expected
  • The ability to work well in a collaborative, cross-functional team
  • The ability to build up and manage an interdisciplinary team

Reference: 800739743

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