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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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Ph. D. in Computer Science or a related field of biological science, thesis work in bioinformatics and computational biology. Master's degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology.
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A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science. Demonstrated experience in the field of computational biology, CRISPR off target genomics, cancer genomics, and/or single-cell genomics.
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Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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PhD in computational biology, data sciences, bioinformatics, mathematics, engineering or a related field. You will have deep technical savvy, a strategic mindset, and clear, forwarding-thinking leadership in AI/ML, computational biology and molecular biology, with a proven track record of leveraging computational tools to drive innovation in biotechnology, particularly in the realm of molecular biology, genome/transcriptome-wide analysis, single cell analytics, molecular design and structure, next generation sequencing, to predict RNA structure, regulation, and splicing.
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Currently pursuing Master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
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MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field. Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies.
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Educational Background: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field. Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases.
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Over 8 years of experience in machine learning, predictive modeling, statistics, computer science, bioinformatics, or computational biology, specializing in neuropsychiatric disorders.
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The ideal candidate will have a PhD in bioinformatics, computational biology, genetics, data science or related field. PhD in bioinformatics, computational biology, genetics, data science or related field.
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Ph. D., M.S. in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field. As a Senior Scientist, Computational Biology - Cancer Biology at Harbinger Health, you will work collaboratively across all technical teams bringing expertise within cancer biology and NGS data analysis.
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An advanced degree (master’s or doctoral) in a quantitative field, including but not limited to Computational Biology, Computer Science, Data Science, Applied Mathematics/Statistics, all relevant engineering and science disciplines.
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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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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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B.S. or M.S. degree in Data Science, Computational Biology, Bioinformatics, or a related discipline. A minimum of 2 years of experience with scientific programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, etc.
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