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Ph. D. in computational biology, bioinformatics, genomics, computer science or a related field. We are seeking a talented and motivated Computational Biology Scientist with strong collaboration and communication skills to join the Genomics and Computational Biology team at CRISPR therapeutics.
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Master's degree in bioinformatics, computational biology, genetics, data science or related field with at least three years' direct experience in computational analysis of large single cell sequencing-based molecular data sets.
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The Ghajar Lab at Fred Hutchinson Cancer Center is searching for a computational scientist with a passion for applying and innovating single cell and spatial biology approaches to address some of the most fundamental questions in cell biology and cancer pathogenesis.
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The work will have a focus on molecular biology techniques including DNA isolation, PCR, Illumina sequencing library preparation, human tissue culture, yeast cell culture, and computational analysis of the resulting data.
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The ideal candidate should have:A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics.
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To accelerate the adoption of clinical sequencing, Illumina is recruiting an exceptional computational scientist with a strong quantitative background in human genetics to work on the development of novel algorithms for genome interpretation.
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Ph. D. in Computer Science, Statistics, Bioinformatics, Computational Biology, or closely related fields. Bachelor's or Master's degree in Computer Science, Bioinformatics, or Computational Biology, or related field (or equivalent experience.
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Preferred: Knowledge of Cancer Biology, Immunology, Metabolism, or Computational Biology. We integrate a rich repertoire of technologies, including biochemistry, flow cytometry, next-generation sequencing, single-cell immune profiling, spatial transcriptomics, and transgenic modeling, to vet the mechanisms underpinning innate immune tolerance of cancers.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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The Senior Scientist, Computational Biology on the Computational Biology team provides computational, bioinformatic, and statistical expertise and leadership to enrich the analytical capabilities of existing products, as well as to design and build lab protocols and computational analyses for new products.
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D. or equivalent experience in Computational Biology, Bioinformatics, Genomics, or a related discipline and a working knowledge of Cellular Biology. We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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Ph. D. or equivalent experience in Computational Biology, Bioinformatics, or a related quantitative discipline. Knowledge of short and long read next-generation sequencing platforms (Illumina, PacBio, Nanopore.
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Expertise in python and / or R for computational biology applications, including source-management systems like git and team code development. Develop computational workflows to analyze raw data from novel molecular biology and instrumentation platforms and provide insights into effectiveness and development of approaches.
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PhD in a quantitative discipline (e.g. Computational Biology, Bioinformatics, Biophysics, Systems Biology, Genomics, or equivalent) Strong working knowledge of next generation sequencing platforms and molecular biology of sample preparation.
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PhD in computational biology, bioinformatics or a related discipline. Stay up to date with emerging technologies and methodologies in bioinformatics and computational biology.
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