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Extensive experience with data mining, text mining, systems biology and network analysisExcellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Strong programming skills and proficient in other programming languages (e.g., SAS, R, and Python) as well as working knowledge of data visualization (Tableau) software is preferred.
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As the lead data science partner supporting our growth teams, you will play a critical role in helping us go from 5M to 50M customers and become a $5B business in the next few years.
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The Cancer Center partners with the Tufts Clinical and Translational Sciences Institute, the Tufts University School of Medicine, the Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, the Tufts University Graduate School of Biomedical Sciences, and numerous other graduate schools across Tufts University to revolutionize health education and inspire discovery.
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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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In Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field. Python, React Native, JavaScript, type script. We are a premier IT consulting firm specializing in delivering top-tier iOS solutions to companies across various sectors such as.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for Computational Biologists. The Department of Data Science at Dana-Farber Cancer Institute is aimed at driving cancer research through innovation and collaboration in the quantitative sciences.
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Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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A Ph. D. in Neuroscience, Psychology, Cognitive Science, or a related field with a strong emphasis on fMRI research is required. + Establish and maintain a robust data management system, including data preprocessing and quality control and perform advanced neuroimaging data analysis using software packages (e.g., FSL, SPM, CONN toolbox, or similar.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Working with Data Warehousing is a plus.
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Please include specific examples of data analysis projects you have undertaken, including links to sample Python/R notebooks demonstrating your skills. Ph. D. required, in a quantitative discipline such as Computer Science, Bioinformatics, Computational Biology, Physics, or Math.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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big data science a r python jobs Company: Endeavor in Cambridge, MA
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