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The AI & Computational Science (AICS) is the dedicated AI team at Novartis Biomedical Research innovating drug discovery. An advanced degree (master’s or doctoral) in a quantitative field, including but not limited to Computational Biology, Computer Science, Data Science, Applied Mathematics/Statistics, all relevant engineering and science disciplines.
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QUALIFICATIONS: PhD or Master’s degree in electrical engineering, biomedical engineering, computer science engineering, statistics, or a related field. Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical data.
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A recent or almost completed Ph. D. degree or equivalent experience in a quantitative field (e.g., biostatistics, epidemiology, artificial intelligence, computer science, operations research, statistics, industrial & systems engineering, applied mathematics, health economics, biomedical informatics, or similar.
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The Tufts University School of Medicine Graduate Programs (TUSMGP) department confers the Doctorate in Physical Therapy (DPT), Master of Public Health (MPH), Master of Medical Science (MMS) by the Physician Assistant Program, Master of Science in Health Informatics and Analytics (MS-HIA), and Master of Science in Biomedical Sciences (MBS.
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Strong experience with biosensor systems and analyzing biomedical data. As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science.
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The Ragon Institute is a highly unique, innovative, and collaborative research center at the forefront of biomedical science. Performs assays utilizing standard techniques (antibody staining, flow cytometry, DNA/RNA extraction and analysis, standard and quantitative PCR, ELISA, cloning.
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Recognized in the Top 20 Engineering Firms and Top 3 Science and Technology Firms since 2000 by Building Design + Construction Magazine, AEI is dedicated to enhancing public health and improving patient outcomes, advancing revolutionary biomedical research, and enabling the next generation of scientific discovery and technological innovation through remarkable design and award-winning projects.
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PhD or master's degree in biology, chemistry, biomedical science or related, with experience in complex scientific projects is preferred. The candidate will be expected to have a deep understanding of science, preferably with experience in cancer research and/or large genomic projects.
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Architecture Development, Architecture Development, Architecture Management, Biochemical Analysis, Biochemical Assays, Biochemical Tests, Bioinformatics, Biology, Biopharmaceuticals, Biotechnology, Cell-Based Assays, Cell Biology, Cell Physiology, Chemical Biology, Clinical Trials, Computer Science, Data Architecture, Data Integration, DNA Microarray, Immunoassays, Immunochemistry, Immunology, Information Architectures, IT Project Lifecycle, Laboratory Informatics {+ 9 more.
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Write a final report or submit a manuscript to a peer-reviewed journal describing the project and resultEDUCATION AND EXPERIENCE:Doctoral degree (MD or PhD) with more than 1 year of lab experience, with background in mathematics, computational science, computer science, statistics, machine learning, deep learning, computer vision, image processing, biomedical engineering, bioinformatics, visual science and ophthalmology.
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Qualifications PhD or master’s degree in biology, chemistry, biomedical science or related, with experience in complex scientific projects is preferred. The Stegmaier lab at the Dana-Farber Cancer Institute (DFCI) is co-leading a collaboration with the St. Jude Children’s Research Hospital and The Broad Institute to accelerate scientific discovery for pediatric cancer.
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PhD in Statistics, Mathematics, Computational Biology, Bioinformatics, Computer Science or related field. Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
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AI & Computational Science (AICS) is seeking a highly motivated and experienced incoming "Principal AI researcher" in the domain of Image/Vision to push the frontier in Life Sciences and drug discovery.
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Act as an Imaging and data science subject matter expert, to help commodify AI and data analytics expertise and assets into impactful analysis workflows and software products, and to help make our research data FAIR.
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Oversee the management and integration of diverse biomedical data sources, including Omics data (genomics, transcriptomics, proteomics, metabolomics), patient-level data, compound libraries, chemical structures, safety data, and analytical results.
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biomedical science jobs in Cambridge, MA
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