Computational biologist | The German Cancer Research Center

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 lab of Prof. Elinav at Heidelberg, operating within the new Microbiome & Cancer division at the DKFZ, and with close collaboration with Prof. Elinav’s lab at Weizmann Institute of Science in Israel, performs advanced multi-disciplinary research aiming to elucidate the role of the human microbiome in health and a variety of common human multi-factorial disorders. A particular emphasis is put on the mechanistic study of the contribution of the microbiome to cancer development, progression, metastasis, towards development of microbiome-associated cancer interventions, personalized cancer treatment tailoring and microbiome-based patient stratification. We will utilize state-of-the art next generation sequencing, automated sample processing, metabolomics, culturomics, immunology, microbiology, metabolism and computational machine learning and artificial intelligence platforms to mechanistically study the microbiome contribution to these important human diseases, with an aim to harness the knowledge towards application in precision medicine.

Ihre Aufgaben:

We are looking for a motivated, responsible and experienced computational scientist to assume a position as the computational biologist at the lab of Prof. Elinav in Heidelberg. Your tasks include:

Data analysis

Coding Bioinformatics

Data mining

Algorithmic related works

Ihr Profil:

The successful candidate is a self-motivated team player, is interested to work with real world biological data and to come up with findings with great potential. A Master degree in Computer Science or Bioinformatics is a necessity. Further requirements are:

Math knowledge and familiarity with basic theoretical concepts of data-analysis and Machine Learning Computer Science Algorithms and data structures Theory of computation, operating systems, multiprocessing (basic knowledge)Math Calculus and linear algebra Probability, Combinatorics and Graph Theory (basic knowledge)Practical experience with data analysis (frameworks: scikit-learn, TensorFlow, Keras, SciPy Ecosystem)Familiarity with version control system

Please provide work reference letters with your application (CV, degrees etc.).

For details visit: with reference from Biocuration Group

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