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Position: Scientific Officer in Machine Learning - Multimodal Data Analysis
Institution: European Molecular Biology Laboratory
Location: Heidelberg, Baden‐Württemberg, Germany
Duties: You will develop methods for finding low-dimensional explanations in high-dimensional biological data. Biological systems can now be studied at multiple levels (DNA sequence, chromatin plasticity, transcriptome, proteome, metabolome, imaging, etc.), increasingly at single-cell resolution. Such data, which often comprise millions of features per observational unit, have a wide range of important applications in basic biology and in biomedicine. You will be finding and understanding the most important patterns. We are currently advertising two positions with two focus areas: (1) mathematical theory development and (2) development of high-quality scientific software and biological application in collaboration with domain experts
Requirements: For both positions, a PhD or equivalent qualification in a quantitative science (mathematics, statistics, physics, computer science, computational biology). For position (1), you will have excellent theoretical foundations in probability theory, statistics, linear algebra and differential geometry. For position (2), you have experience in statistical data analysis and a solid understanding of programming concepts and multiple languages including R and Python. You are excited by making or contributing to biological discoveries, and you are interested in the modern biotechnologies that enable us to make the measurements with which you work
   
Text: Scientific Officer in Machine Learning - Multimodal data analysis Location: Heidelberg, Germany Staff Category: Staff Member Contract Duration: 3 years Grading: 5 or 6, depending on experiece and qualifications Closing Date: 3 March 2019 Reference Number: HD01466 The research groups of Wolfgang Huber at EMBL and Oliver Stegle at DKFZ and EMBL, located in Heidelberg, work on machine learning and statistical computing solutions for cutting-edge biology and biomedicine research. Their interdisciplinary teams engage in theoretical method development, translation into effective software, and scientific applications in collaboration with researchers from fields including cancer and developmental biology. Your role You will develop methods for finding low-dimensional explanations in high-dimensional biological data. Biological systems can now be studied at multiple levels (DNA sequence, chromatin plasticity, transcriptome, proteome, metabolome, imaging, etc.), increasingly at single-cell resolution. Such data, which often comprise millions of features per observational unit, have a wide range of important applications in basic biology and in biomedicine. You will be working on the most fundamental step in their analysis: finding and understanding the most important patterns. These can come in the form of latent factors, clusters, smooth manifolds, graphs, etc. The learning tasks comprise unsupervised, supervised and hybrid setups. We are currently advertising two positions in this new and exciting field, with two complementary focus areas: (1) mathematical theory development and (2) development of high-quality scientific software and biological application in collaboration with domain experts. Relevant publications: Argelaguet, Ricard, Velten, B., et al. "Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets." Molecular Systems Biology (2018), DOI 10.15252/msb.20178124 . Moore, R., Casale, F. P., et al. “A linear mixed model approach to study multivariate gene-environment interactions.” Nature Genetics (2019) . DOI 10.1038/s41588-018-0271-0. You have For both positions, a PhD or equivalent qualification in a quantitative science (mathematics, statistics, physics, computer science, computational biology). For position (1), you will have excellent theoretical foundations in probability theory, statistics, linear algebra and differential geometry. For position (2), you have experience in statistical data analysis and a solid understanding of programming concepts and multiple languages including R and Python. You are excited by making or contributing to biological discoveries, and you are interested in the modern biotechnologies that enable us to make the measurements with which you work. You will be involved in interdisciplinary research projects, therefore you should enjoy collaborative work. You might also have For both positions, experience with biological or biomedical data is a plus. Why join us EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation with a very collegial and family friendly working environment. The remuneration package comprises a competitive salary, a comprehensive pension scheme, medical, educational and other social benefits, as well as financial support for relocation and installation, including your family and the availability of an excellent child care facility on campus. What else do I need to know We are Europe’s flagship research laboratory for the life sciences - an intergovernmental organisation performing scientific research in disciplines including molecular biology, physics, chemistry and computer science. We are an international, innovative and interdisciplinary laboratory with more than 1600 employees from many nations, operating across six sites, in Heidelberg (HQ), Barcelona, Hinxton near Cambridge, Hamburg, Grenoble and Rome. Our mission is to offer vital services in training scientists, students and visitors at all levels; to develop new instruments and methods in the life sciences and actively engage in technology transfer activities, and to integrate European life science research. Please note that appointments on fixed term contracts can be renewed, depending on circumstances at the time of the review.
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