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computing clusters, parallel processing, and data pipelining. Strong analytical and statistical background, with the capability to interpret complex biomedical data accurately. Direct experience handling and
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relevant information. We need a motivated individual with a background in computer science, bioinformatics, or related fields, to write computer programs to carry out such tasks in an efficient manner
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, providing state-of-the-art facilities and resources. YOUR TASKS: We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
adaptation. Your tasks We are seeking an experienced and visionary computer scientist to lead our Bioinformatics Facility. The successful candidate will have the opportunity to develop and lead their own
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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Gilbert S. Omenn Department of Computational Medicine and Bioinformatics is seeking a highly skilled and experienced Senior-Level Bioinformatician to exclusively manage coding, data processing, and
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical