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Scientist Machine Learning / Computational Biology (f/m)

targenomix GmbH. Potsdam-Golm, 04.05.2018


Targenomix GmbH is a startup company with core expertise in computational and systems biology, quantitative and molecular genetics, cell biology and biochemistry. One of the main research fields is the identification of interactions between molecular targets and small molecules. Targenomix entered a tight research partnership with a world leading life science company focusing on the area of innovative agricultural products. Additionally, targenomix maintains close interaction with publicly funded research institutions like Max Planck Institutes and universities. At targenomix you have the opportunity to be part of a young, highly motivated and dedicated team with a diverse scientific background.

Scientist Machine Learning / Computational Biology

One of the core areas of your role will be the application of diverse machine learning approaches on multi-omics data. This involves classification of data into specific groups or the identification of potential biomarkers. Moreover, you will use machine learning concepts to identify treatment-specific patterns in diverse data types.

You have a master or PhD in bioinformatics, computer science or a related field and ideally some years of experience in the field of machine learning. You have practical experience with state of the art machine learning methods and deep learning frameworks. You possess strong programming skills in R and are familiar with visualization of high dimensional data.

Generally, a good understanding of the underlying biological system and interest in interpreting the data in its biological context would be beneficial. Preferably, you already have a background in plant physiology and metabolism, however, this is not a prerequisite.

At targenomix, you will work in a young and professional team with a highly diverse scientific background. Therefore, good interpersonal skills along with a cooperative work attitude and a high degree of motivation are essential.

If you are interested in the above position, please send your application including CV by email to The application deadline is the 31st of May 2018.

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Bewerbungsschluss: 31.05.2018