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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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As a highly dynamic and collaborative institute, QBI applies disease agnostic technology such as proteomics and functional genomics, as well as biochemistry, computational biology, and bioinformatics to unravel the molecular networks underpinning infectious diseases, as well as cancer and neurological disorders.
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Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Stay updated with the latest data science and computational biology research and methodologies, integrating these into internal R&D. PhD (or equivalent): Computational Biology, Bioinformatics, Quantitative Genetics, Systems Biology, or Neuroscience.
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We're seeking a motivated Associate Computational Biologist with an interest in synthetic biology to join our interdisciplinary team and contribute to the development of CATALOG's DNbased data storage and computation platform.
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You will be an SME for genotoxicity and gene editing products working closely with Computational Biology, Toxicology, Genomics Innovation and PreClinical Genotox to support the development of genome editing based therapeutics into the clinic.
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They bring scientific talents in molecular biology, immunology, pharmacology, protein chemistry, computational biology, automation, genome engineering, software and other fields to make the future happen now.
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Knowledge of bioinformatics or computational biology (e.g., R, python) is a plus. Ph. D. in Molecular Biology, Cellular Biology, Biochemistry, Bioengineering, or associated fields.
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Advanced understanding of genomics, bioinformatics, computational biology, and related fields, with a track record of managing complex projects in these dsiciplines. Demonstrated knowledge and expertise in genomics, bioinformatics, computational biology, and related fields.
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Domain expertise in cell or human physiology, single-cell genomics, computational biology, or bioengineering is a plus. Our current work merges the Klarman Cell Observatory’s historical strengths in single cell sequencing and technology development with the Xavier lab’s expertise in organ biology, immunology, and human genetics.
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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Experience in Python programming, unix command line, version control systems (e.g. git), bioinformatic and computational biology toolkits applied to NGS analysis. Additionally, the candidate would bring expertise in next-generation sequencing, molecular biology, and cell culture techniques to develop assays to detect on- and off-target editing outcomes and shape the next generation of therapeutic gene editors.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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For this position, expertise is required in the specific area of cancer biology, including, but not limited to, cancer immunology, single-cell biology, tumor heterogeneity, chemical biology, mitochondrial biology, proteomics, genomics and computational biology, cancer metabolism, cancer genetics, cancer cell biology, tumor microenvironment, mechanisms of therapy resistance, metastasis, oncogenic signal transduction pathways, genome integrity, cancer epigenetics, and /or systems biology.
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computational biology jobs Title: doctoral fellow
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