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About the role The Computational Biologist will work closely with scientists and other computational biologists to analyze NGS genomics data and develop bioinformatics methods to solve exciting and challenging problems in cell and gene therapy, immunology, and stem cell biology.
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Rancho Biosciences is seeking a Senior Bioinformatics Scientist to provide analytical services in a variety of client-facing roles. Hands-on experience with NGS data and demonstrated expertise in relevant topics.
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The Staff Scientist, Bioinformatics is responsible for collecting product requirements and designing and developing NGS analysis pipelines to meet those requirements. As a Staff Scientist, Bioinformatics, you will be part of a growing team of bioinformaticians primarily focused on single-cell and immune profiling NGS applications.
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Hands-on experience of state-of-the-art bioinformatics tools, including NGS and proteomic pipelines strongly preferred. Caris Life Sciences is looking for a sharp, driven and goal oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing complex clinical and translational data sets.
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The bioinformatics team leader will apply bioinformatics principles and methods to assist scientists in analyzing, filtering, and processing next-generation sequencing (NGS), genotyping array, and other omics data.
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PhD in a relevant domain [Immunology, Computational Biology, Structural Biology, Bioengineering, Bioinformatics, or similar] with 3+ years of industry experience preferred. Experience with data from phage or yeast display or NGS generally.
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Demonstrated knowledge of clinically relevant biomarker approaches across a range of technology platforms (NGS, RNAseq, IHC, mIF, qPCR/ ddPCR, etc.) Collaborate with Translational Medicine team members in biomarker operations and clinical bioinformatics on executing biomarker plans.
$150,000 - $190,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The bioinformatics group plans to use a multi-omics analysis approach to develop analysis solutions for NGS-based assisted reproductive technology assays being developed. The Staff Scientist, Bioinformatics will be part of a growing team of bioinformaticians primarily focused on Reproductive Health Technologies.
$145,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
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At least 3 years of hands-on experience in developing bioinformatics pipelines, implementation of algorithms for NGS data, and analysis of multi-omics data. Masters or Ph. D. degree, preferably in computational biology, bioinformatics, data/computer science, machine learning/AI, or statistics.
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Position requirements: BS or MS in Bioinformatics, Computer Science, Biology or related field and demonstrated experience in NGS data analysis or single cell genomics. Expertise in bioinformatics and programming (eg.
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Master's, or Ph. D. degree in Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, Statistics, Physics, Mathematics, or a related field. Stay current with the latest advancements in image processing, computer vision, and machine learning technologies, and apply cutting-edge techniques to solve challenges in NGS.
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UPMC Hillman Cancer Center is seeking a Bioinformatics Research Specialist as part of the lab for the Director of the Solid Tumor Cell Therapy program. The Bioinformatics Research Specialist will work as a computational biologist/bioinformatician who will focus on analyses of multi-omics datasets (with emphasis on single cell and bulk RNAseq, exome sequencing and imaging data) relevant to the study of immune cells in mouse and human cancer microenvironments.
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The successful candidate will gain field experience, expertise in mirid systematics, including identifications, NGS and bioinformatics skills, and expertise with phylogenetic and downstream analyses (e.g., divergence dating, biogeography, phylogenetic diversity.
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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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