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are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze genomic and phenotypic data that requires writing computer programs that can read and wrangle various
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of Earth and Planetary Sciences (EPS), and across schools in Curtin University. The applicant will work in parallel with the Director of Curtin’s Western Australia Organic and Isotope Geochemistry Centre (WA
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treatment. It is advantageous if you have previously worked with massively parallel sequencing (NGS), both in the laboratory and/or with bioinformatics, for example Single Cell RNAseq. It is also advantageous
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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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& 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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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: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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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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-performance servers, with attention to standardized file structures, metadata curation, and secure access controls. In parallel, the successful applicant also manages and maintains an internal project tracker—a
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operations of cyberinfrastructure. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC