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Deep understanding of next¬-generation sequencing data and bioinformatics algorithms. REQUIRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field.
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Preferred candidates will demonstrate (1) a proven track record of developing and/or implementing high-throughput genomics pipelines (2) a strong proficiency in programming languages such as Python, R, or Perl (3) expertise in next-generation sequencing (NGS) data analysis (4) experience with statistical analysis, machine learning, and data visualization techniques (5) excellent communication skills and ability to collaborate effectively with interdisciplinary teams.
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This position will lead a team of bioinformaticians and data scientists developing and leveraging multi-omics assays based on next-generation sequencing (NGS), computer vision, and other advanced analytical approaches.
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They will also be familiar with a range of existing industry-standard genomic bioinformatic techniques operated via command line and computational analysis of Next-Generation Sequencing (NGS) datasets to derive technical and biological insights.
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Experience with Next Generation Sequencing (NGS) technologies. In this exciting role, you will perform research assignments including isolating bacteriophages on non-model environmental isolates from a unique field site, carry out experimental characterizations of phage-host interactions, prepare samples for next-generation sequencing, adopt phage engineering approaches, and follow protocols to evolve phages with specific functional traits.
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Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data. Ph. D. in Computational Biology, Biostatistics, or a related field.
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This position will be focused on the bioinformatics collaborations in Oncology clinical trials and will thus play a crucial role in analyzing large-scale genomic and clinical datasets to uncover insights into cancer biology and treatment response.
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Extensive experience and expertise, demonstrated via a strong publication record and prior work experience, in the analysis of cancer genomics data, including whole-genome sequencing, exome sequencing, RNseq, and epigenomic data.
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Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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MSc. or PhD in Bioinformatics, Computational Biology, Computer Science, Software Engineering, or related field. Collaborate with various internal teams, including software, assay development, microfluidics, and systems engineering.
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Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types. PhD in Bioinformatics, Computational Biology, Genetics, or a related field.
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Select variants of interest identified in clinical genomic data for analysis in model organisms, such as mice or zebrafish, to gain insights into biological mechanisms and disease processes. Familiarity with Epic systems and test ordering/billing processes (preferred.
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The GRC is seeking to hire a scientist proficient in Next-Generation-Sequencing (NGS) to support single cell and Visium spatial transcriptomic profiling capabilities. Demonstrated record of high-proficiency, hands-on molecular biology experience with PCR-based assays and technical knowledge of high-throughput genomic profiling technologies with emphasis on Illumina sequencing platforms and complex library preparation workflows for bulkRNseq, 10X Genomics scRNseq, and 10X Genomics Visium spatial transcriptomics.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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You have broad experience with data generated by one or more high-throughput molecular assays: Next-generation sequencing, flow cytometry, etc. You have a Ph. D. in Computational Biology, Biostatistics, Bioinformatics, or similar, with a strong publication record.
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