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Individuals with experience in disease bioinformatics, machine learning, or protein engineering will have the opportunity to work in these respective budding areas of research at Manifold Bio. This position will be customized to fit the individual's expertise and interests.
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Background in genomics, bioinformatics, statistics, epidemiology, computer science, network biology. jointly supervised by Assistant Professor Michael McGeachie and Associate Professor Jessica Lasky.
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Data science, computational biology and bioinformatics are a fundamentally important core discipline and integral part of the Translational Discovery group. Ph. D. degree in Biomedical Sciences, Bioinformatics, Computational Biology, or closely related field.
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PhD in Bioinformatics, Computational Biology, Computer Science, or related field. Master's Degree in Bioinformatics, Computational Biology, Computer Science, or a related field. PhD in Bioinformatics, Computational Biology, Computer Science, or related field.
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Significant relevant experience after your MD/PhD/postdoc including quantitative expertise in biostatistics, bioinformatics, computer biology, statistical genetics, clinical imaging, machine learning, or data science; interpreting and publishing studies consisting of “omics” data e.g. genetics, genomics, proteomics; closely partnering with/leading data scientists.
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Ph. D. or equivalent with 5 or more years of experience in bioinformatics, computational biology, systems biology, plant breeding, genetics or related quantitative field. Proficiency in programming languages commonly used in bioinformatics and computational biology (e.g., R, Python) and experience with high-performance computing and cloud environments.
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Publications (including first author publications) in leading computational biology conferences and / or in leading computational biology, bioinformatics, genomics, or multi-disciplinary journals are a plus but not required.
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BS and/or MS in computational biology, bioinformatics, computer science, or a related field required. Bioinformatics Specialist I, Analytic & Translational Genetics Unit - ( 3282055 ) Job Description - Bioinformatics Specialist I, Analytic & Translational Genetics Unit (3282055.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor's degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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Prior research experience in Fusobacterial pathogenesis, microbial-host interaction, small RNA research, bioinformatics and/or animal study will be a plus. Dr. Xuesong He has an opening for one postdoctoral fellow position in his laboratory for a highly motivated candidate who is interested in human oral microbiome and microbial-host interaction.
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PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field + 2 years of relevant experience, or MS degree + 5 years of relevant experience. The ideal candidate will have a strong background in machine learning, bioinformatics and solid understanding of immunology, with a proven track record of developing advanced algorithms that can transform complex biological data into actionable insights.
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Ph. D., M.S. in Bioinformatics, Computational Biology, Data Science, Computer Science, or related field. You will develop cutting-edge bioinformatics algorithms to distill complex genomic data into actionable insights.
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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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Minimum education: PhD/Doctoral degree from an accredited college/university in bioinformatics, statistics, genetics, computational biology, or related field. Job Title: Bioinformatics Scientist - III (Senior.
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PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.
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bioinformatics job Title: post doctoral associate Company: University Of Minnesota in Boston, MA
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