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    Machine Learner at Deutsches Krebsforschungszentrum (DKFZ) (Heidelberg, Deutschland)
    Deutsches Krebsforschungszentrum (DKFZ) Employer
    Heidelberg, Deutschland
    Job Type
    Job Location
    Full Time
    Heidelberg, Deutschland

    Job Description:

    The German Cancer Re­search Center is the largest bio­medi­cal re­search insti­tu­tion in Germany. With approx­imate­ly 3,000 em­ployees, we operate an exten­sive scien­tific program in the field of cancer research.

    The Division of Medical Informatics for Translational Oncology is seeking a

    Machine Learner

    (Ref-No. 2019-0172)


    With an increasing amount of cancer patients receiving genomic tests, a new challenge arises: interpreting the results based on state-of-the-art knowledge and deriving tailored therapy decisions. Life sciences have the task of incor­porating the new genomic information with everything known about the course of a disease and producing results that a physician can directly apply in patient care.   

    Our group is seeking new talents, who enjoy building sophisticated data models applicable in a real-world clinical setting. You will join an interdisciplinary team which already has an established process for data gathering, preparation and analysis as well as the creation and improvement of analytic systems for phy­sicians and scientists. In cooperation with medical domain experts you will apply your skills to generate insights on retrospective data, and you will be able to write publications on the findings as well as the methods used to derive them. You are not required to bring previous knowledge in the medical domain, we welcome people from all backgrounds, who have the passion and skills to work with us.  

    • You design and implement machine learning models that use genomic data to help find novel ways of diagnosing and treating oncological diseases

    • You work together with domain specialists in doing data-driven analysis that answers research questions from the life science area

    • You develop novel scientific methods, models and concepts for software solu­tions in the oncological and medical domain

    • You work together with our software developers in extracting data and preparing it for analysis and to tailor-specific tools

    • You communicate closely with stakeholders and participate in clarifying and documenting their requirements

    • You design new solutions for specialized user-centered analytic tools and visualizations

    • You keep abreast of novel developments in the scientific and regulatory areas applicable to your work

    • You participate actively in writing scientific publications for conferences and journals

    Your profile:

    • University degree in a relevant field (computer science, medicine, or any discipline with a strong focus on data analysis and/or IT), or professional experience in machine learning and data analysis

    • Solid understanding of machine learning methods (e. g. neuronal networks, predictive models, classification models)

    • Confident use of data analysis languages and tools (preferably TensorFlow for deep learning, R or Python for classic analysis)

    • Domain knowledge in medicine or biology is an advantage, but not required

    • Confidence in communicating both within the team and with external stakeholders and research partners

    • Working proficiency in German and English

    The position is limited to 2 years.

    The position can in principle be part-time.

    For further information please contact
    Rumyana Proynova, phone +49 6221 42-5112.

    Skills required:


    Flexible Hours
    Letter of Recommendation
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