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Position: Head of Scientific Computing
Institution: Friedrich Miescher Institute for Biomedical Research
Location: Basel, Switzerland
Duties: In this role, you will work closely with FMI researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing such software to high-performance computing infrastructures. In your role, you will lead Scientific Computing at our institute and strengthen our team of experts to support researchers in finding, setting up and using the right tools and compute resources for their scientific work. This includes exploring novel solutions, porting or integrating software to adequate computing environments, streamlining data analysis pipelines to analyze scientific data, improving and refactoring source code, identifying and if required designing efficient hardware setups that run such data analysis pipelines, or providing solutions for research data management and reproducible research
Requirements: PhD or MSc in computational science or related field such as physics, bioinformatics, computer science, etc; good understanding of the fundamentals of natural sciences and statistical and numerical methods; interest to learn about biological questions and motivation to support researchers in applying computational approaches to such questions; strong background in scientific programming and data processing with experience in applying best practices (e.g. automated testing and version control); interest to learn about new technologies in scientific computing; excellent communication skills in English, solid project management skills and a service-oriented attitude
   
Text: Head of Scientific Computing, Basel, Switzerland To support research and interface between researchers and IT services, Scientific Computing at the Friedrich Miescher Institute for Biomedical Research (FMI) aims to bridge the gap between computational research and IT infrastructure provisioning. It acts at the interface between researchers and IT services, in a complex IT and research environment. Description In this role, you will work closely with FMI researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software, to porting and optimizing such software to high-performance computing infrastructures. In your role, you will lead Scientific Computing at our institute and strengthen our team of experts to support researchers in finding, setting up and using the right tools and compute resources for their scientific work. This includes exploring novel solutions, porting or integrating software to adequate computing environments, streamlining data analysis pipelines to analyze scientific data, improving and refactoring source code, identifying and if required designing efficient hardware setups that run such data analysis pipelines, or providing solutions for research data management and reproducible research. You work closely with researchers to understand their data and their needs in working with the data, find solutions to address them, and provide training and consulting. In this role, you need to coordinate between our researchers, members of the IT department, and external collaborators. You investigate new tools and technologies relevant for scientific computing, particularly in the area of data science. Your Profile This position requires: PhD or MSc in computational science or related field such as physics, bioinformatics, computer science, etc.; good understanding of the fundamentals of natural sciences and statistical and numerical methods; interest to learn about biological questions and motivation to support researchers in applying computational approaches to such questions; strong background in scientific programming and data processing with experience in applying best practices (e.g. automated testing and version control); interest to learn about new technologies in scientific computing; excellent communication skills in English, solid project management skills and a service-oriented attitude. Advantageous are: hands-on experience with HPC technologies, optimization and parallelization or GPU computing (e.g. OpenMP, MPI, or CUDA) and with the usage of workflow managers (e.g. Snakemake) or job scheduling systems (e.g. SLURM); knowledge of machine learning techniques and exposure to data analytics frameworks; hands-on experience in system administration; experience with research data management and computational solutions for reproducible research; understanding of how to use cloud technologies; up-to-date familiarity with commonly used hardware approaches (computation, storage, network) to high-performance computing tasks and in designing a hardware setup suitable for specific data analysis pipelines. We offer Scientific Computing at FMI provides a stimulating work environment for knowledge sharing and exchange, possibilities for engagement around a vast spectrum of areas in scientific IT as well as for further education. FMI is committed to flexible and family-friendly working models and a healthy work-life balance. FMI supports a policy of diversity and inclusion, and we particularly encourage qualified female candidates to apply. About the FMI The Friedrich Miescher Institute for Biomedical Research (FMI), based in Basel, Switzerland, is a world-class biomedical research institute with a twofold mission: understanding the molecular mechanisms of health and disease, and training early career scientists. With an international staff of about 340 people and 20 research groups, the FMI focuses on three main research areas: Neurobiology, Genome Regulation and Multicellular Systems. Named after Friedrich Miescher, the Basel biochemist who discovered nucleic acids, the FMI is affiliated with the University of Basel and the Novartis Institutes for Biomedical Research. For further information , please contact Michael Stadler ( michael.stadler@fmi.ch ) or Georg Keller ( georg.keller@fmi.ch ). To apply, please submit your application at www.fmi.ch/opening . The review of applications will begin September 1, 2022 and continue until the position is filled.
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