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Research, design, and deliver training materials to effectively communicate, promote, and advance computational biology techniques and software usage by NIH researchers. Good understanding of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.
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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.
$125,840 - $238,160 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Ph. D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics.
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Other desirable skills include the ability to perform computational biology analyses of next-generation sequencing data and experience with various mouse cancer models. We utilize a range of techniques, including biochemical and molecular biology methods, next-generation sequencing (including single-cell sequencing), and genome editing to study these processes in cell culture, mouse models, and patient-derived models.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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The department of Computational Biology is seeking an experienced lead or principal-level bioinformatics research scientist to provide direction and lead the development of pipelines for use in our clinical genomics program.
$138,320 - $262,080 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Computational systems biology research includes methods development and use to analyze large scale omics, greenhouse, field, and clinical datasets to derive insights and hypotheses suitable for further experimental validation and to improve researchers’ ability to further advance understanding of biological systems.
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This is a unique multi-disciplinary position that will work closely with a variety of groups including Chemistry, Cell Biology, Computational Biology, Microfluidics, and Support groups.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Responsibilities include cell culture and maintenance of human cell lines, basic molecular biology (PCR, cloning, running DNA and protein gels), flow cytometry, preparation of samples for deep sequencing, confocal microscopy, basic statistical calculations, and other duties as assigned.
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Description Job Responsibilities:We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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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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Who you areYou have a PhD in bioinformatics, biostatistics, computational biology or similar. You will be a part of a highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health.
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Demonstrated expertise in molecular biology techniques, including DNA/RNA extraction & purification, NGS library preparation & QC, PCR, qPCR, etc. Generate NGS libraries and perform library QC upstream of sequencing.
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We apply a multidisciplinary approach to our research and actively collaborate with virology, cell biology, genomics, proteomics, microscopy, and data science teams at the CZ Biohub San Francisco.
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computational biology sequencing research jobs Company: Grail
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