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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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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Hands-on experience with NGS data and demonstrated expertise in relevant topics. PhD (or equivalent industry experience) in Bioinformatics, Biology, or related field. This position is a unique opportunity for an individual to make a real impact on human health alongside our team of curators, computational biologists, data scientists, and data engineers.
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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. Senior Data Scientist, Computational Biology Department: DS/ML (Data Science/Machine Learning.
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A minimum of five years' experience in genomics and computational biology. The Kelley Laboratory in the Department of Ecology and Evolutionary Biology at the University of California, Santa Cruz (UCSC) invites applications for the position of Evolutionary Genomics Assistant Research Scientist.
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Verve is seeking a highly motivated and talented Scientist with experience in implementation, evaluation and application of statistical methods for the analysis of next generation sequencing (NGS) data to join our Computational Biology team.
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Masters or PhD Degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline, and 3+ years of related work experience required. The ideal candidate should have strong computational and programming skills and experience with large-scale data analysis, such as NGS, and be excited to contribute to advancing the science and medicine of eye disease.
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Solid understanding of principles and analytical methodologies in computational biology and bioinformatics. Hands-on experience of state-of-the-art bioinformatics tools, including NGS and proteomic pipelines strongly preferred.
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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. The Sanjana Lab at the New York Genome Center is looking for a motivated and enthusiastic Computational Biologist to work within a creative and dynamic research team of scientists, bioengineers, and life science entrepreneurs.
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Assist in the development and maintenance of NGS/bioinformatic/computational biology pipelines. The software engineer will be a member of the computational biology (“Read”) team and will also need to collaborate extensively with our experimental biology teams (“Sense”, “Write”, “Build.
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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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Stay abreast of latest advancements in genomics, computational biology, and bioinformatics, and apply emerging technologies to enhance pipeline efficiency and accuracy. This position offers an exciting opportunity to work at the intersection of biology, computational biology, and data science, to make significant contributions to our understanding of genomic regulation.
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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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Masters or Ph. D. degree, preferably in computational biology, bioinformatics, data/computer science, machine learning/AI, or statistics. We are looking for a highly motivated computational biologist/ bioinformatician to join our team.
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Experience as Computational Biology co-lead for pre-clinical drug discovery programs. PhD degree in computational biology, bioinformatics, or a related field. Senior Computational Biologist.
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