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Ph. D. in Bioinformatics, Biology, Computational Biology, Data Science, Computer Science or a related field. Partnering with laboratory research and development teams to improve fundamental assay chemistry through the creation and analysis of highly informative computational tools measuring process performance.
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Job DescriptionSr Research Scientist I – Oncology Bioinformatics, Research Data ScienceWe are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in protein engineering or directed evolution using high-throughput systems and assays as well as in working with automated platforms (PCR, cloning, microbial transformation, homologous recombination, sequencing, and CRISPR-based integration.
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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.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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B.S. or M.S. in computer science, bioinformatics, computational biology, genomics, or a related field with 7 years of industry experience or Ph. D. with 3 years of experience. Oversee the scalable development and optimization of next-generation sequencing (NGS) data analysis pipelines.
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Stay up-to-date with the latest developments in bioinformatics and genomic technologies, and contribute to the development of new computational tools and methods for spatial genomics and long DNA sequencing.
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7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
$195,814 - $293,720Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. with 8+ years experience in bioinformatics, computational biology, or a related field, including at least 2+ years industry experience, with background in oncology and experience in drug discovery and/or translational research.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ph. D. in Genetics, Bioinformatics, Computational Biology, or similar quantitative field. Familiarity with the analysis of short read DNA sequencing (WES/WGS) including alignment, variant calling, QC, and joint calling.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Using its unique drug discovery pipeline comprised of Artificial Intelligence, virtual screening, molecular docking, high throughput multi-omics sequencing, and human derived induced pluripotent stem cell technologies (hiPSCs), Greenstone Biosciences aims to develop novel drug therapeutics to achieve precision medicine and precision health.
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Foster collaboration with other internal groups, including Computational Biology, Automation, Animal Facilities, Flow Cytometry, and Operations, to drive innovation and progress. Have a working understanding of cellular reprogramming and next-generation sequencing (NGS.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Combining Next-Generation Sequencing and proprietary data analysis, we can identify over 1,000 human pathogens from a single blood sample with a typical turnaround time of one business day. Engage actively with multiple departments, playing a catalytic role at the intersection of computational biology, machine learning, and domain-specific challenges.
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DESIRED QUALIFICATIONS: Master’s degree or a combination of education and relevant experience in computational biology or bioinformatics. Experience in DNA, RNA extraction and quality control, library preparation, sequencing, and data analysis.
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Experience: The ideal candidate will have an undergraduate or graduate life science degree (biological, chemical, or structural biology) as well as substantial course work or work experience involving computational biology, statistics or advanced mathematics, such as data reduction techniques (e.g., principal component analysis, t-SNE, etc.
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You will have the opportunity to work with world-leading scientists in relevant fields, including CRISPR technologies, computational biology, and single-cell genomics. Extensive experience with standard molecular biology techniques including cloning, PCR, qPCR, NGS library preparation, Sanger sequencing.
Full-timeExpandApply NowActive JobUpdated 6 days ago
computational sequencing jobs in Menlo Park, CA
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